Machine Learning for Causal Inference

Essential Statistical Inference Theory and Methods

Inference for Functional Data with Applications

Modelling Operational Risk Using Bayesian Inference

Le raisonnement bayésien Modélisation et inférence

Inference in Hidden Markov Models

Statistical Inference for Discrete Time Stochastic Processes

Working with sample data exploration and inference

Introduction to Empirical Processes and Semiparametric Inference

Handbook of applied econometrics and statistical inference

Handbook of applied econometrics and statistical inference

Inference for Diffusion Processes With Applications in Life Sciences

Statistical Methods for Dynamic Treatment Regimes Reinforcement Learning, Causal Inference, and Personalized Medicine

Adaptive Sampling Designs Inference for Sparse and Clustered Populations

Permutation Testing for Isotonic Inference on Association Studies in Genetics

Targeted Learning Causal Inference for Observational and Experimental Data

Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

Statistical Inference, Econometric Analysis and Matrix Algebra Festschrift in Honour of Götz Trenkler

The Elements of Statistical Learning Data Mining, Inference, and Prediction

Model Based Inference in the Life Sciences: A Primer on Evidence

Simulation and Inference for Stochastic Differential Equations With R Examples

Estimation of Dependences Based on Empirical Data Empirical Inference Science Afterword of 2006

Advances in Distribution Theory, Order Statistics, and Inference

Inference for Change Point and Post Change Means After a CUSUM Test

Statistical and Inductive Inference by Minimum Message Length

Confidence intervals in generalized regression models

Stereology for statisticians