Pages that link to "Item:Q3021424"
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The following pages link to Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love (Q3021424):
Displaying 50 items.
- A generalized Gaussian process model for computer experiments with binary time series (Q153075) (← links)
- Bayesian 2-stage space-time mixture modeling with spatial misalignment of the exposure in small area health data (Q484672) (← links)
- Modeling complex spatial dependencies: low-rank spatially varying cross-covariances with application to soil nutrient data (Q486034) (← links)
- Population counts along elliptical habitat contours: hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure (Q902912) (← links)
- The importance of scale for spatial-confounding bias and precision of spatial regression estimators (Q903318) (← links)
- Joint temporal point pattern models for proximate species occurrence in a fixed area using camera trap data (Q1618093) (← links)
- Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology (Q1622175) (← links)
- Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data (with discussion) (Q1752017) (← links)
- Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths (Q2078796) (← links)
- MSPOCK: alleviating spatial confounding in multivariate disease mapping models (Q2084438) (← links)
- Modeling obesity rate with spatial auto-correlation: a case study (Q2088540) (← links)
- Spatial functional data modeling of plant reflectances (Q2170446) (← links)
- Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data (Q2226688) (← links)
- Modelling multilevel spatial behaviour in binary-mark muscle fibre configurations (Q2281184) (← links)
- Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields (Q2291296) (← links)
- Alleviating spatial confounding for areal data problems by displacing the geographical centroids (Q2316977) (← links)
- Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures (Q2316986) (← links)
- Spectral parameterization for linear mixed models applied to confounding of fixed effects by random effects (Q2317269) (← links)
- Bayesian binomial mixture models for estimating abundance in ecological monitoring studies (Q2349555) (← links)
- Bayesian methods for estimating animal abundance at large spatial scales using data from multiple sources (Q2363972) (← links)
- The Bayesian group Lasso for confounded spatial data (Q2403471) (← links)
- Some recent work on multivariate Gaussian Markov random fields (Q2414872) (← links)
- A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models (Q3391151) (← links)
- A spectral method for spatial downscaling (Q3465371) (← links)
- Spatial regression and estimation of disease risks: A clustering‐based approach (Q4970221) (← links)
- A hitchhiker's view on spatial statistics and spatial econometrics for lattice data (Q4970965) (← links)
- Estimating acute air pollution health effects from cohort study data (Q4979245) (← links)
- A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States (Q5050801) (← links)
- Statistical Implications of Endogeneity Induced by Residential Segregation in Small-Area Modeling of Health Inequities (Q5050816) (← links)
- On Deconfounding Spatial Confounding in Linear Models (Q5050818) (← links)
- Spatial Confounding in Generalized Estimating Equations (Q5050832) (← links)
- Computational aspects of the EM algorithm for spatial econometric models with missing data (Q5106886) (← links)
- Evaluation of Bayesian multiple stage estimation under spatial CAR model variants (Q5107314) (← links)
- A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution (Q5170213) (← links)
- A semivarying joint model for longitudinal binary and continuous outcomes (Q5507346) (← links)
- Modeling Dependence in Spatio-Temporal Econometrics (Q5871006) (← links)
- Estimation and selection for spatial confounding regression models (Q5875272) (← links)
- Restricted Spatial Regression Methods: Implications for Inference (Q5881102) (← links)
- Structural Equation Models for Dealing With Spatial Confounding (Q5882536) (← links)
- Comments on: process modeling for slope and aspect with application to elevation data maps (Q5970958) (← links)
- Spatial regression and spillover effects in cluster randomized trials with count outcomes (Q6050956) (← links)
- Spatial+: A novel approach to spatial confounding (Q6055667) (← links)
- Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin (Q6055671) (← links)
- Rejoinder to the discussions of “Spatial+: A novel approach to spatial confounding” (Q6055672) (← links)
- A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications (Q6067151) (← links)
- A flexible Bayesian nonconfounding spatial model for analysis of dispersed count data (Q6068817) (← links)
- A comparison of adaptive sampling designs and binary spatial models : a simulation study using a census of <i>Bromus inermis</i> (Q6069102) (← links)
- Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys (Q6086602) (← links)
- On the Effects of Spatial Confounding in Hierarchical Models (Q6088270) (← links)
- Evaluating recent methods to overcome spatial confounding (Q6102543) (← links)
