zbMath0799.62002MaRDI QIDQ4002793
Noel Cressie
Publication date: 18 September 1992
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nonparametric regression on random fields with random design using wavelet method,
Optimal design in geostatistics under preferential sampling,
Unsupervised image segmentation with Gaussian pairwise Markov fields,
Nonparametric estimation of conditional quantiles for functional and spatial dependent variables,
Generating heterogeneity spectra from spatially resolved measurements,
Propensity and probability in depositional facies analysis and modeling,
The spectrum of kernel random matrices,
Guest editors' introduction to the special issue on ``Seismomatics: space-time analysis of natural or anthropogenic catastrophes, Effective sample size for line transect sampling models with an application to marine macroalgae, Gaussian maximum likelihood estimation for ARMA models. II: Spatial processes, On estimators of the nearest neighbour distance distribution function for stationary point processes, Strong laws of large numbers for independent fuzzy set-valued random variables, Modelling and estimation of social interaction effects in new product diffusion, Model-based clustering for integrated circuit yield enhancement, Local linear spatial quantile regression, On information plus noise kernel random matrices, Mittag-Leffler vector random fields with Mittag-Leffler direct and cross covariance functions, Adaptive virtual support vector machine for reliability analysis of high-dimensional problems, Approaches for multi-step density forecasts with application to aggregated wind power, Poisson point process models solve the ``pseudo-absence problem for presence-only data in ecology,
Efficient calibration for imperfect computer models,
Estimating the smoothness of a Gaussian random field from irregularly spaced data via higher-order quadratic variations,
Optimal bandwidth of the ``Minkowski content-based estimator of the mean density of random closed sets: theoretical results and numerical experiments, Confidence regions for the intensity function of a cyclic Poisson process, Inference on power law spatial trends, Markov modulated Poisson process associated with state-dependent marks and its applications to the deep earthquakes, A Bayesian spatiotemporal model for reconstructing climate from multiple pollen records, The importance of scale for spatial-confounding bias and precision of spatial regression estimators, Point process diagnostics based on weighted second-order statistics and their asymptotic properties, Multiresolution Karhunen Loève analysis of Galvanic skin response for psycho-physiological studies, Bayesian spatial models with a mixture neighborhood structure, A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data, Variogram or semivariogram? variance or semivariance? allan variance or introducing a new term?, Bayesian hierarchical modeling for temperature reconstruction from geothermal data, Covariance estimation: the GLM and regularization perspectives, Goodness of fit tests for a class of Markov random field models, Bayesian nonparametric modeling for functional analysis of variance, Identification and estimation of superposed Neyman-Scott spatial cluster processes, A space-time varying coefficient model: the equity of service accessibility, Gravitational lensing accuracy testing 2010 (GREAT10) challenge handbook, Histograms for stationary linear random fields, Best prediction in linear models with mixed integer/real unknowns: Theory and application, Kernel regression estimation for continuous spatial processes, Penalized maximum likelihood estimation and variable selection in geostatistics, An invariance principle for fractional Brownian sheets, A multiscale maximum entropy moment closure for locally regulated space-time point process models of population dynamics, A Bayesian approach to spatial prediction with flexible variogram models, A spatio-temporal dynamic regression model for extreme wind speeds, Kriging regionalized positive variables revisited: Sample space and scale considerations, Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian process based method, Kriging and spatial design accelerated by orders of magnitude: combining low-rank covariance approximations with FFT-techniques, Variable family size based spatial moving correlations model, Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption, Interpolation of spatial and spatio-temporal Gaussian fields using Gaussian Markov random fields, Growth processes based on 8-neighbor time delays, Space-varying regression models: specifications and simulation, Nonparametric recursive density estimation for spatial data, Mixed model regression estimation of a spatial total in the continuous plane paradigm, Geostatistical simulation when the number of experimental data is small: an alternative paradigm, Modeling and prediction of multivariate space-time random fields, Nonparametric density estimation and clustering in astronomical sky surveys, Relative density of the random \(R\)-factor proximity catch digraph for testing spatial patterns of segregation and association, A test for comparing two discrete stochastic dynamical systems under heteroskedasticity, Summary statistics for measuring the relationship among three types of points in multivariate point patterns, Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields, Robust nonparametric estimation for spatial regression, Parameter estimation in first-order autoregressive model for statistical process monitoring in the presence of data autocorrelation, A spatial analysis of multivariate output from regional climate models, A bivariate space-time downscaler under space and time misalignment, Adaptive estimation of stationary Gaussian fields, Sparse sampling: spatial design for monitoring stream networks, Kriging-based subdivision schemes: application to the reconstruction of non-regular environmental data, Temporal aggregation in chain graph models, Downscaling extremes: a comparison of extreme value distributions in point-source and gridded precipitation data, Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior, A model for estimating point sources in spatial data, Residual-based specification of the random-effects distribution for cluster data, A non-parametric estimator for the doubly periodic Poisson intensity function, A hierarchical max-stable spatial model for extreme precipitation, Hierarchical spatial models for predicting tree species assemblages across large domains, High-dimensional Gaussian model selection on a Gaussian design, Contracting in space: An application of spatial statistics to discrete-choice models, GMM estimation with cross sectional dependence, Empirical stationary correlations for semi-supervised learning on graphs, Theory and practice in mathematical geology -- introduction and discussion, Interpolating fields of carbon monoxide data using a hybrid statistical-physical model, Two-particle models for the estimation of the mean and standard deviation of concentrations in coastal waters, Lévy-based growth models, On a stronger-than-best property for best prediction, Practical large-scale spatio-temporal modeling of particulate matter concentrations, Gaussian processes and limiting linear models, Asymptotic normality of a nonparametric conditional quantile estimator for random fields, Efficient emulators of computer experiments using compactly supported correlation functions, with an application to cosmology, Residual analysis methods for space-time point processes with applications to earthquake forecast models in California, Bayesian matching of unlabeled marked point sets using random fields, with an application to molecular alignment, Stochastic design optimization: application to reacting flows, Detection of spatial clustering with average likelihood ratio test statistics, On nonparametric and semiparametric testing for multivariate linear time series, Consistency of a nonparametric conditional mode estimator for random fields, Adaptive sampling for Bayesian geospatial models, A central limit theorem with applications to percolation, epidemics and Boolean models., Central limit theorems for \(k\)-nearest neighbour distances, Multivariate geostatistical mapping of radioactive contamination in the Maddalena Archipelago (Sardinia, Italy): spatial special issue, Extreme eigenfunctions of adjacency matrices for planar graphs employed in spatial analyses, Directional analysis of fibre processes related to Boolean models, Spatial CART classification trees, A class of shrinkage priors for the dependence structure in longitudinal data, A simulation technique of a non-Gaussian spatial process, Probabilistic models in cluster analysis, An integral transform approach to cross-variograms modeling, Kaplan-Meier estimators of distance distributions for spatial point processes, Two-dimensional discrete scan statistics, Data assimilation in transport models, Splines from a Bayesian point of view, Asymptotic theory for varying coefficient regression models with dependent data, On two-stage Monte Carlo tests of composite hypotheses, Approximate maximum likelihood estimation of the Bingham distribution, An overview of design of experiments, Area-interaction point processes, The variogram of the uniform transform of a random field, Predicting integrals of random fields using observations on a lattice, Locally lattice sampling designs for isotropic random fields, Stochastic analysis of spatiotemporal solute content measurements using a regression model, A statistical analysis of noisy crowdsourced weather data, Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes, High interaction graphics, Kernel regression estimation with errors-in-variables for random fields, Sparse matrix tools for Gaussian models on lattices, The use of univariate Bayes regression models for spatial smoothing, Additive covariance kernels for high-dimensional Gaussian process modeling, Argumentwise invariant kernels for the approximation of invariant functions, Computational reduction for parametrized PDEs: strategies and applications, Approximating the conditional density given large observed values via a multivariate extremes framework, with application to environmental data, A dynamic nonstationary spatio-temporal model for short term prediction of precipitation, Composite Gaussian process models for emulating expensive functions, Identifying local differences with fused-MCP: an apartment rental market case study on geographical segmentation detection, Bayesian calibration of blue crab (\textit{callinectes sapidus}) abundance indices based on probability surveys, Local influence for spatially correlated binomial data: an application to the \textit{spodoptera frugiperda} infestation in corn, Transitive geostatistics and statistics per individual: a relevant framework for assessing resources with diffuse limits, Detecting abrupt changes in the gradient of a Gaussian field and application to the environmental sciences, Sequential methods for design-adaptive estimation of discontinuities in regression curves and surfaces, Primal and dual model representations in kernel-based learning, Gaussian copula marginal regression, Estimation of the mean for spatially dependent data belonging to a Riemannian manifold, Modeling temporal gradients in regionally aggregated California asthma hospitalization data, Daily minimum and maximum temperature simulation over complex terrain, Statistical inference for disordered sphere packings, Explicit connections between longitudinal data analysis and kernel machines, Spatial logistic regression and change-of-support in Poisson point processes, Modeling partially surveyed point process data: inferring spatial point intensity of geomagnetic anomalies, A note on Bayesian spatial prediction using the elliptical distribution., Local linear regression estimation of the variogram., LGM split sampler: an efficient MCMC sampling scheme for latent Gaussian models, Estimation of random fields by piecewise constant estimators, An information-fusion method to identify pattern of spatial heterogeneity for improving the accuracy of estimation, Modeling spatio-temporal data by spatial AR models, On the exact distribution of the iostropic planar point processes of phase type, Two-scale spatial models for binary data, Statistical inference for spatial statistics defined in the Fourier domain, Efficient geometric reconstruction of complex geological structures, A model for analyzing spatially correlated binary data clustered in uncorrelated lattices, Principal component analysis of persistent homology rank functions with case studies of spatial point patterns, sphere packing and colloids, Design-based mapping for finite populations of marked points, Geographic and network surveillance via scan statistics for critical area detection, On optimal spatial subsample size for variance estimation, Modeling strength and failure variability due to porosity in additively manufactured metals, Systematic sensor placement for structural anomaly detection in the absence of damaged states, Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures, Goodness-of-fit tests for complete spatial randomness based on Minkowski functionals of binary images, Underground mine scheduling under uncertainty, Bayesian data fusion applied to soil drainage classes spatial mapping, A review of nonparametric hypothesis tests of isotropy properties in spatial data, Latent Gaussian random field mixture models, Poles of pair correlation functions: when they are real?, Describing the spread of biological populations using stochastic compartmental models with births, Spatial sampling design based on stochastic complexity., Estimation of partially linear single-index spatial autoregressive model, Kriging by local polynomials., Spatial nonparametric regression estimation: Non-isotropic case, Bayesian fuzzy kriging, Inference for a binary lattice Markov process, Least-squares fitting from the variogram cloud, Markov random field models for vector-based representations of landscapes, A spatial randomness test based on the box-counting dimension, B-spline estimation for varying coefficient regression with spatial data, Predicting random fields with increasing dense observations, Parametric covariance models for shock-induced stochastic processes, Constructing and fitting models for cokriging and multivariable spatial prediction, Tracking a smooth fault line in a response surface., The screening effect in kriging, Ensemble updating of categorical state vectors, Discontinuous regression surfaces fitting, Estimating integrals of stochastic processes using space-time data, Spatial adaption for predicting random functions, Eigenfunction properties and approximations of selected incidence matrices employed in spatial analyses, Bayesian analysis of regression models with spatially correlated errors and missing observations, Estimation for partially linear additive regression with spatial data, Morphological analysis of discrete random shapes, Approximations for a conditional two-dimensional scan statistic., Lacunarity definition for ramified data sets based on optimal cover, Spatial smoothing of low birth weight rate in Bangladesh using Bayesian hierarchical model, INVESTIGATING ESTIMATOR CONSISTENCY OF NONLINEAR GROWTH CURVE PARAMETERS, Simple Latin Square Sampling ±kDesigns, On estimation in binary autologistic spatial models, Outlier detection in environmental monitoring network data: an application to ambient ozone measurements for Houston, Texas, Modelling Frontal Discontinuities in Wind Fields, B-spline estimation for semiparametric varying-coefficient partially linear regression with spatial data, Random effects and shrinkage estimation in capture-recapture models, A NEW GRAPHICAL APPROACH TO CLASSIFY SPATIAL POINT PATTERNS BASED ON HIERARCHICAL CLUSTER ANALYSIS, Local linear estimate of the point at high risk: Spatial functional data case, The consistency of least-square regularized regression with negative association sequence, Estimation of the trend function for spatio-temporal models, Extrapolation of stationary random fields via level sets, Hierarchical Models in Environmental Science, Semiparametric Mixed Model for Longitudinal Image Data, Assessing implicit hypotheses in life table construction, Neyman-Scott process with skew-normal clusters, Approximations to the covariance properties of processes averaged over irregular spatial regions, Interdependence and information loss in multi-sensor systems, Unnamed Item, Some laws of large numbers for arrays of random upper semicontinuous functions, Estimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics, A new construction of covariance functions for Gaussian random fields, Optimal Sensor Positioning; A Probability Perspective Study, Analysis and approximation for inverse problems in contaminant transport and biodegradation models, Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan--Vese and Rudin--Osher--Fatemi Models, Temporal Analogues to Spatial K Functions, Analysis of Bacterial Spatial Patterns at the Initial Stage of Biofilm Formation, Mixed-Poisson point process with partially observed covariates: ecological momentary assessment of smoking, Practical modeling strategies for unbalanced longitudinal data analysis, Identifying radon-prone building typologies by marginal modelling, Stochastic intrinsic Kriging for simulation metamodeling, Including a Nugget Effect in Lifted Brownian Covariance Models, Stochastic geometry and related statistical problems in biomedicine, On a rank test in a two-factor mixed model with varying dependent repeated measurements, Model-based transductive learning of the kernel matrix, Discrete, Continuous and Conditional Multiple Window Scan Statistics, Statistical advances in environmental science, A bootstrap for point processes, A New Spatial Skew-Normal Random Field Model, Estimating and modeling space-time correlation structures., The origins of kriging, On the stability of the geostatistical method, On least squares estimation of generalized covariance functions, Multivariable spatial prediction, Quadratic covariance estimation and equivalence of predictions, Universal co-kriging under intrinsic coregionalization, Inner product matrices, kriging, and nonparametric estimation of variogram, Fitting matrix-valued variogram models by simultaneous diagonalization. I: Theory, Model-based transductive learning of the kernel matrix, Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation, Data mining in brain imaging, Comparing the Performances of Diggle's Tests of Spatial Randomness for Small Samples with and without Edge‐Effect Correction: Application to Ecological Data, Bootstrap tests for misspecified models, with application to clustered binary data., A statistical method for tuning a computer code to a data base., Building Adaptive Estimating Equations When Inverse of Covariance Estimation is Difficult, Geostatistical Analysis Through Spectral Techniques: Some Words of Caution, Properties of Binary Data Generated from a Truncated Gaussian Random Field, B-spline estimation for spatial data, Using the Variagraph to Test Lack of Fit of a Parametric Regression Model Without Replication, On the Measurement and Analysis of Asymmetry with Applications to Facial Modelling, Exchange algorithms for constructing large spatial designs, Properties of Designs in Experiments on Spatial Lattices, Unnamed Item, Unnamed Item, Statistical modeling of spatial extremes, Central limit theorems for long range dependent spatial linear processes, Intrinsically weighted means and non-ergodic marked point processes, Score, pseudo-score and residual diagnostics for spatial point process models, Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction, Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm, Performance of the Kenward–Roger Method when the Covariance Structure is Selected Using AIC and BIC, Local spatial biclustering and prediction of urban juvenile delinquency and recidivism, Bootstrap based Trans-Gaussian Kriging, A simple approach to the estimation of Tukey's gh distribution, Estimating Pair Correlation Functions of Planar Cluster Processes, Strategies for Fitting Large, Geostatistical Data in MCMC Simulation, Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events, Estimating Mark Functions Through Spectral Analysis for Marked Point Patterns, Unnamed Item, Residual Analysis for Spatial Point Processes (with Discussion), Emulating Satellite Drag from Large Simulation Experiments, Kernel estimation of the diameter distribution in boolean models with spherical grains, Deux méthodes d'estimation pour les paramètres de processus moyenne mobile spatiaux, Use of contagious distributions in the semiconductor yield models considering cluster effect, A new family of random graphs for testing spatial segregation, Residuals Based Estimators of the Covariogram, High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm, Hyperparameter estimation and plug-in kernel density estimates for maximum a posteriori land-cover classification with multiband satellite data, Prediction Performance of Correlated Error Procedures for Spatial Counts, A note on the comparison of pseudo-likelihood and generalized estimating equations for marginally specified odds ratio models with exchangeable association structure, A Bayesian Meta-Modeling Approach for Gaussian Stochastic Process Models Using a Non Informative Prior, Spatial Modeling of Regional Variables, Random Marked Sets, Issues with the Smith-Wilson method, A gm estimation of the location parameters in a spatial linear model, Existence conditions for purely spatial processes, Goodness-of-fit tests for high-dimensional Gaussian linear models, On the consistent separation of scale and variance for Gaussian random fields, Covariance structure selection in general mixed models, Properties of designs for sampling continuous spatial resources from a triangular grid, Estimating spatial covariance using penalised likelihood with weightedL1penalty, Models of stochastic geometry ? A survey, Intrinsic random fields and image deformations, Local linear spatial regression, Spatial Matérn Fields Driven by Non-Gaussian Noise, A quasi-multistart framework for global optimization of expensive functions using response surface models, Objective Bayesian analysis for CAR models, Approximations of distributions of scan statistics of inhomogeneous Poisson processes, On univariate function identification problems, Semiparametric spatial mixed effects single index models, Unnamed Item, Geostatistics for compositional data: an overview, Convergence of the best linear predictor of a weakly stationary random field, Direct sampling with a step function, Unnamed Item, Information loss on the dependence parameter due to incomplete data from a one-parameter spatial gaussian process, Estimation and smoothing from incomplete data for a class of lattice processes, Protective estimation of longitudinal categorical data with nonrandom dropout, Unnamed Item, Bayesian Spatial Modeling of Housing Prices Subject to a Localized Externality, Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications, Spatial Regression Models Using Inter-Region Distances in a Non-Random Context, Finite-sample equivalence in statistical models for presence-only data, Hidden Markov models for the activity profile of terrorist groups, L1-estimation for spatial nonparametric regression, Bayesian object classification of gold nanoparticles, Modeling US housing prices by spatial dynamic structural equation models, Application of em-type algorithms to spatial data, Identification of local clusters for count data: a model-based Moran'sItest, Marginally restricted D-optimal designs for correlated observations, Estimating spatial quantile regression with functional coefficients: a robust semiparametric framework, Positive definite norm dependent matrices in stochastic modeling, A nonparametric measure of spatial interaction in point patterns, On the use of non-Euclidean distance measures in geostatistics, HGLMs for analysis of correlated non-normal data, O2S2 for the Geodata Deluge, Fast cars, Simulation study of dissimilarity between point processes, Exploring spatial nonlinearity using additive approximation, Block-band behavior of spatial correlations: an analytical asymptotic study in a spatial exponential family data setup, Combining heterogeneous spatial datasets with process-based spatial fusion models: a unifying framework, Parametric estimation for Gaussian fields indexed by graphs, Least-squares prediction in linear models with integer unknowns, Thinning spatial point processes into Poisson processes, Testing nonparametric and semiparametric hypotheses in vector stationary processes, Smoothing Errors, Intrinsic autoregressions at multiple resolutions, Spatial autocorrelation and statistical tests: some solutions, Enhanced diagnostics for the spatial analysis of field trials, Measures of parameter uncertainty in geostatistical estimation and geostatistical optimal design, Penalized image averaging and discrimination with facial and fishery applications, Regression models for Boolean random sets, A multiscale method for distributed parameter estimation with application to reservoir history matching, Improved return level estimation via a weighted likelihood, latent spatial extremes model, Incorporating big microdata in life table construction: A hypothesis-free estimator, Maximum likelihood estimation of a generalized star(p; 1p) model, Tree-based models for random distribution of mass, A \(J\)-function for marked point patterns, Geostatistical modelling of ground conditions to support the assessment of site contamination, Performance of information criteria for spatial models, Using Weight Functions in Spatial Point Pattern Analysis with Application to Plant Ecology Data, Fire seasonality identification with multimodality tests, New formulation of the logistic-Gaussian process to analyze trajectory tracking data, The nonparametric estimation of long memory spatio-temporal random field models, Exploring spectral density estimation for spatial linear process with mixing innovations, Maxima of moving sums in a Poisson random field, Assessing Uncertainty in Support-Adjusted Spatial Misalignment Problems, A distance-based model for spatial prediction using radial basis functions, Alleviating spatial confounding for areal data problems by displacing the geographical centroids, Spatial prediction using bivariate exponential distribution, Conditional hazard estimate for functional random fields, Maximum likelihood estimation for random sequential adsorption, Clustering of interval time series, On spatiotemporal prediction for on-line monitoring data, Covariance matrix estimation using repeated measurements when data are incomplete, Wavelet thresholding in fixed design regression for Gaussian random fields, Nonparametric adaptive density estimation on random fields using wavelet method, Texture Inpainting Using Efficient Gaussian Conditional Simulation, Curve estimation in random fields of associated processes, Bayesian multivariate spatial models for roadway traffic crash mapping, Nonparametric Measures of Association between a Spatial Point Process and a Random Set, with Geological Applications, Tests for a Difference in Timing of Physiological Response Between Two Brain Regions Measured by Using Functional Magnetic Resonance Imaging, Test for the first-order stationarity for spatial point processes in arbitrary regions, For numerical differentiation, dimensionality can be a blessing!, Variable Window Scan Statistics for Normal Data, Outlier–robust spectral estimation for spatial lattice processes, Multivariate versus univariate Kriging metamodels for multi-response simulation models