greta lets you write your own model like in BUGS, JAGS and Stan, except that you write models right in R, it scales well to massive datasets, and it’s easy to extend and build on. See thewebsitefor more information, includingtutorials,examples,package documentation, and thegreta forum. ...
Stata's statistical features empower you to answer a wide range of research questions. From linear and logistic regression to time-series and panel-data analyses, survival models, causal inference, Bayesian analysis, and machine learning, you can fit models, evaluate assumptions, make inferences, an...
Recent improvements are highlighted in the release notes https://www.statsmodels.org/stable/release/ Backups of documentation are available athttps://statsmodels.github.io/stable/andhttps://statsmodels.github.io/dev/. Main Features Linear regression models: ...
Texts in Statistical Science(共72册),这套丛书还有 《Applied Stochastic Modelling》《The Analysis of Time Series (Chapman & Hall/CRC Texts in Statistical Science) 7th Edition》《Statistics in Human Genetics and Molecular Biology》《Introduction to General and Generalized Linear Models》《The Theory of...
In this study, we first mapped the species table to the genome-scale metabolic models (GSMM) [18] at the family rank or lower to at least one GSMM. The reactions were normalized to species abundance in the sample considered. We then performed a two-sample t-test for the reaction abundanc...
In relatively few pages, it takes the reader through a vast amount of material, beginning with deep issues in statistical methodology such as de Finetti’s theorem, through the nitty-gritty of Bayesian computation to sophisticated models such as generalized linear mixed effects models and copulas. ...
Stochastic Models and Statistical Inference Book ©1996 Overview Authors: Denis Bosq, Hung T. Nguyen Part of the book series:Theory and Decision Library B(TDLB, volume 34) About this book This text is an Elementary Introduction to Stochastic Processes in discrete and continuous time with an in...
Bagging and regression trees in individual claims reserving Jan Janoušek Michal Pešta Regular Article 06 May 2025 Article: 89 k-hull depth: in between simplicial and halfspace depth Erik Mendroš Stanislav Nagy Regular Article 06 May 2025 Article: 88 Copula hurdle GARCH models for mult...
Likelihoods Probabilities (or probability densities) of observed data under an assumed statistical model as a function of model parameters. Family-wise error rate (FWER). The probability of at least one false-positive significant finding from a family of multiple tests when the null hypothesis is ...
Gijbels. Penalized estimation in additive varying coefficient models using grouped regularization. Technical ... A Antoniadis,I Gijbels,S Lambert-Lacroix - 《Statistical Papers》 被引量: 17发表: 2014年 Penalized estimation in additive varying coefficient models using grouped regularization Statistical ...