The following pages link to published in (P200):
Displaying 50 items.
- DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization (Q116384) (← links)
- Using data to build a better EM: EM* for big data (Q116386) (← links)
- An integrated package for drought monitoring, prediction and analysis to aid drought modeling and assessment (Q116393) (← links)
- Efficient data preprocessing, episode classification, and source apportionment of particle number concentrations (Q116402) (← links)
- Robust adaptive Metropolis algorithm with coerced acceptance rate (Q116440) (← links)
- Designing Simple and Efficient Markov Chain Monte Carlo Proposal Kernels (Q116444) (← links)
- Supervised compression of big data (Q116458) (← links)
- Unsupervised multiple kernel learning for heterogeneous data integration (Q116481) (← links)
- The Poisson Multinomial Distribution and Its Applications in Voting Theory, Ecological Inference, and Machine Learning (Q116493) (← links)
- Global identifiability of linear structural equation models (Q116503) (← links)
- Half-trek criterion for generic identifiability of linear structural equation models (Q116505) (← links)
- Multiple QTL Mapping in Autopolyploids: A Random-Effect Model Approach with Application in a Hexaploid Sweetpotato Full-Sib Population (Q116546) (← links)
- PAFit: A Statistical Method for Measuring Preferential Attachment in Temporal Complex Networks (Q116587) (← links)
- Joint estimation of preferential attachment and node fitness in growing complex networks (Q116588) (← links)
- PAFit: An R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks (Q116590) (← links)
- Non-parametric estimation of the preferential attachment function from one network snapshot (Q116591) (← links)
- A new approach to categorising continuous variables in prediction models: Proposal and validation (Q116617) (← links)
- SMOTEBoost: Improving Prediction of the Minority Class in Boosting (Q116629) (← links)
- RUSBoost: A Hybrid Approach to Alleviating Class Imbalance (Q116635) (← links)
- New Applications of Ensembles of Classifiers (Q116640) (← links)
- Diversity analysis on imbalanced data sets by using ensemble models (Q116644) (← links)
- New EM-type algorithms for the Heckman selection model (Q116653) (← links)
- A Graphical Analysis of Deviance (Q116662) (← links)
- Randomized Quantile Residuals (Q116665) (← links)
- Improved Added Variable and Partial Residual Plots for the Detection of Influential Observations in Generalized Linear Models (Q116668) (← links)
- Principal component estimation of functional logistic regression: discussion of two different approaches (Q116679) (← links)
- Using principal components for estimating logistic regression with high-dimensional multicollinear data (Q116683) (← links)
- Class Maps for Visualizing Classification Results (Q116712) (← links)
- A comparison of estimation methods for multilevel models of spatially structured data (Q116739) (← links)
- Multi-parameter regression survival modeling: An alternative to proportional hazards (Q116744) (← links)
- A Flexible Parametric Modelling Framework for Survival Analysis (Q116747) (← links)
- SuRF: A new method for sparse variable selection, with application in microbiome data analysis (Q116756) (← links)
- Innovative Trend Analysis Methodology (Q116761) (← links)
- Understanding diagnostic tests 1: sensitivity, specificity and predictive values (Q116769) (← links)
- Doctor, what does my positive test mean? From Bayesian textbook tasks to personalized risk communication (Q116774) (← links)
- FCM: The fuzzy c-means clustering algorithm (Q116780) (← links)
- Unified approach to the classical statistical analysis of small signals (Q116786) (← links)
- Amino Acid Difference Formula to Help Explain Protein Evolution (Q116791) (← links)
- A solution to the multivariate behrens-fisher problem (Q116796) (← links)
- A Generalization of Shapiro–Wilk's Test for Multivariate Normality (Q116799) (← links)
- R/qtlcharts: Interactive Graphics for Quantitative Trait Locus Mapping (Q116811) (← links)
- RAINBOW: Haplotype-based genome-wide association study using a novel SNP-set method (Q116817) (← links)
- The simplest complete model of choice response time: Linear ballistic accumulation (Q116822) (← links)
- A Class of $K$-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk (Q116829) (← links)
- A Proportional Hazards Model for the Subdistribution of a Competing Risk (Q116831) (← links)
- Permutation testing in high-dimensional linear models: an empirical investigation (Q116853) (← links)
- Estimation and Applications of Quantile Regression for Binary Longitudinal Data (Q116864) (← links)
- TIGER: technical variation elimination for metabolomics data using ensemble learning architecture (Q116879) (← links)
- SVR-wavelet adaptive model for forecasting financial time series (Q116886) (← links)
- Ensemble patch transformation: a flexible framework for decomposition and filtering of signal (Q116897) (← links)
