Chapman and Hall/CRC
Introduction to Modern Randomization-Based Design and Analysis for Causal Inference
Proof Theory: Sequent Calculi and Related Formalisms
Creating Websites with AI: A Model Neutral Beginner's Guide
the Random Number Code: Unlocking Secrets of Numbers That You Can't Predict...
Computational Probability with Python: Theory, Simulation, and Actuarial Applications
Perspectives on Machine Consciousness
Statistical Methods and Applications Using Quantiles
Copula Models for Dependent Competing Risks: Theory and applications in economics, engineering medicine
Time Series Decomposition and Seasonal Adjustment
Future Ready with Generative AI: Skills, Mindsets, and Stories in the Age of AI
AI Use Cases for Public Diplomacy: Applying to Affairs and Strategic Communication
Introduction to Risk Parity and Budgeting
Hybrid Nanostructures as Solid-State Sensors for IoT
Bayesian Data Analysis
Introduction to Real Analysis
Univariate Families of Distributions
Probability and Statistics for Computer Scientists
Risk Assessment and Decision Analysis with Bayesian Networks
The AI Centered Enterprise: Reshaping Organizations with Context Aware
Smart Buildings and Cities with Remote Sensing GIS
The Effect: An Introduction to Research Design and Causality
AI Applications in Business: Beyond Silicon Valley and Western Frameworks
Gateway Routing Selection Schemes for Post-Disaster Recovery in Mobile Ad Hoc Networks
Innovation and Knowledge Management in Manufacturing Industry: Case Studies Applications
Deep Learning Assisted Statistical Methods with Examples in R
Statistical Inference based on The Density Power Divergence: Robustness Perspective
Python 3 Using DeepSeek
Games, Gambling, and Probability: An Introduction to Mathematics
Blockchain for IoT Systems: Concept, Framework and Applications
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