Chapman and Hall/CRC
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
Probability and Statistical Inference: From Basic Principles to Advanced Models
Analyzing Sensory Data With R
Domain-Specific Computer Architectures for Emerging Applications
AI, Blockchain, and Metaverse in Hospitality Tourism Industry 4.0
Prescriptions for Quant Traders Using R: Videos & Scripts
IoT and Machine Learning for Smart Applications
Software Design by Example: A Tool Based Introduction with JavaScript
Kirchhoff Equations: A Variational Approach
Foundations of Quantitative Finance, Book VII: Brownian Motion and Other Stochastic Processes
Multivariate Statistical Methods: A Primer
Spatial Data Science: With Applications in R
Beyond Multiple Linear Regression: Applied Generalized Models and Multilevel in R
Stochastic Volatility Modeling
An R Companion to Linear Statistical Models
Convex Analysis
Cloud Security
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values
Chapman & Hall/CRC Interdisciplinary Statistics Bayesian Modeling of Spatio Temporal Data with R
Foundations of Bayesian Statistics for Data Scientists: With R and Python
The Analysis of Time Series: An Introduction with R
The Games that Computers (and Humans) Play: A Non Technical Introduction to Artificial Intelligence
Introduction to Forestry Data Analysis with R
Introduction to Statistical Computing and Visualization Using R
Handbook of Markov Chain Monte Carlo
Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management- Predictive...
Chapman & Hall/CRC Artificial Intelligence and Robotics Series AI Law
Copula Models for Dependent Competing Risks: Theory and Applications in Economics, Engineering, Medicine
Empirical Processes and Statistical Reinforcement Learning: A Festschrift in Honor of Michael R. Kosorok
Terug naar boven