Probability & Statistics in 2023

Bayes Factors for Forensic Decision Analyses with R by Biedermann, Alex, Bozza, Silvia, Taroni, Franco

Reliability Engineering by Tiniakov, Dmytro, Sun, Youchao, Li, Longbiao

STATISTIQUE DESCRIPTIVE Cours et Exercices: Le Poids des nombres, la Force des données et la Puissance de l'Information by Mbobi, Gaëlle, Mbobi, Aimé, Thimothée Mauline, Peggy

Actionable Science of Global Environment Change: From Big Data to Practical Research by

Deep Learning Networks: Design, Development and Deployment by Madni, Azad M., Singaram, Jayakumar, Iyengar, S. S.

Deep Learning: Foundations and Concepts by Bishop, Christopher M., Bishop, Hugh

Molecular Storms: The Physics of Stars, Cells and the Origin of Life by Graham, Liam

Introduction to Stochastic Processes Using R by Madhira, Sivaprasad, Deshmukh, Shailaja

Big Data Analytics in Intelligent Iot and Cyber-Physical Systems by

Intelligent Systems and Pattern Recognition: Third International Conference, Ispr 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, P by

Numerical Methods for Solving Discrete Event Systems: With Applications to Queueing Systems by Grassmann, Winfried, Tavakoli, Javad

Deep Learning in Smart Ehealth Systems: Evaluation Leveraging for Parkinson's Disease by Popescu, Nirvana, Channa, Asma

Measure-Valued Processes and Stochastic Flows by Dorogovtsev, Andrey a.

Statistical Methods: Connections, Equivalencies, and Relationships by Berry, Kenneth J., Johnston, Janis E.

Defining Enterprise Data and Analytics Strategy: Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Mult by Sah, Prakash

Statistical Modeling Using Bayesian Latent Gaussian Models: With Applications in Geophysics and Environmental Sciences by

Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management by

Theory and Applications of Time Series Analysis: Selected Contributions from Itise 2022 by

Data Analytics: A Theoretical and Practical View from the Edison Project by Cuadrado-Gallego, Juan J., Demchenko, Yuri

DESCRIPTIVE STATISTICS Course and Exercises: The Weight of Numbers, the Strength of Data and the Power of Information by Mbobi, Gaëlle, Mbobi, Aimé, Thimothée Mauline, Peggy

DESCRIPTIVE STATISTICS Course and Exercises: The Weight of Numbers, the Strength of Data and the Power of Information by Mbobi, Aimé, Thimothée Mauline, Peggy, Mbobi, Gaëlle

STATISTIQUE DESCRIPTIVE Cours et Exercices: Le Poids des nombres, la Force des données et la Puissance de l'Information by Mbobi, Gaëlle, Mbobi, Aimé, Thimothée Mauline, Peggy

Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimiza by Hinton, Andrew

Neural Information Processing: 30th International Conference, Iconip 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VI by

Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications by

Neural Information Processing: 30th International Conference, Iconip 2023, Changsha, China, November 20-23, 2023, Proceedings, Part IV by

Neural Information Processing: 30th International Conference, Iconip 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II by

Annual Report on the Big Data of New Energy Vehicle in China (2022) by Wang, Zhenpo

Responsible Data Science: Select Proceedings of Icdse 2021 by

Artificial Intelligence, Big Data and Data Science in Statistics: Challenges and Solutions in Environmetrics, the Natural Sciences and Technology by

Interaction Models by Golder, Matt, Clark, William Roberts

Interaction Models by Clark, William Roberts, Golder, Matt

Stochastic Neutron Transport: And Non-Local Branching Markov Processes by Horton, Emma, Kyprianou, Andreas E.

The Beginner's Guide to Data Science by Ball, Robert, Rague, Brian

The Design Inference: Eliminating Chance through Small Probabilities by Dembski, William A., Ewert, Winston

The Design Inference: Eliminating Chance through Small Probabilities by Ewert, Winston, Dembski, William A.

Machine Learning Algorithms: Adversarial Robustness in Signal Processing by Cui, Shuguang, Li, Fuwei, Lai, Lifeng

Linear Models and Design by Beder, Jay H.

Stochastic Calculus Via Regularizations by Vallois, Pierre, Russo, Francesco

Forecasting and Analytics with the Augmented Dynamic Adaptive Model (Adam) by Svetunkov, Ivan

Infinite Dimensional Analysis, Quantum Probability and Related Topics, Qp38 - Proceedings of the International Conference by

Mathematik Verstehen Und Anwenden: Differenzialgleichungen, Fourier- Und Vektoranalysis, Laplace-Transformation Und Stochastik by Ritter, Stefan, Goebbels, Steffen

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, Chatgpt, and Other Llms by Kulkarni, Anoosh, Kulkarni, Akshay, Shivananda, Adarsha

Multivariate Discrete Q-Distributions by Charalambides, Charalambos A.

Maximum Likelihood Estimation with Stata, Fifth Edition by Pitblado, Jeffrey, Poi, Brian, Gould, William

Foundations of Applied Statistical Methods by Lee, Hang

Introduction to Responsible AI: Implement Ethical AI Using Python by S, Saravanan, Manure, Avinash, Bengani, Shaleen

Stochastic Approximation: A Dynamical Systems Viewpoint: Second Edition by Borkar, Vivek S.

Statistical Inference Under Mixture Models by Chen, Jiahua

Statistik: Eine Interdisziplinäre Einführung Mit Interaktiven Elementen by Mittag, Hans-Joachim, Schüller, Katharina

Python Deep Learning - Third Edition: Understand how deep neural networks work and apply them to real-world tasks by Vasilev, Ivan

Distributed Machine Learning with Pyspark: Migrating Effortlessly from Pandas and Scikit-Learn by Testas, Abdelaziz

Decision Intelligence: Proceedings of the International Conference on Information Technology, Incite 2023, Volume 1 by

Modern Biostatistical Methods for Evidence-Based Global Health Research by

Machine Learning for Causal Inference by

Optimization Algorithms for Distributed Machine Learning by Joshi, Gauri

Recent Advances on Sampling Methods and Educational Statistics: In Honor of S. Lynne Stokes by

New Frontiers in Bayesian Statistics: Baysm 2021, Online, September 1-3 by

Case Studies in Innovative Clinical Trials by

Data Analysis: A Gentle Introduction for Future Data Scientists by Brawn, Dan, Upton, Graham

Data Analysis: A Gentle Introduction for Future Data Scientists by Upton, Graham, Brawn, Dan

The Cramér-Lundberg Model and Its Variants: A Queueing Perspective by Mandjes, Michel, Boxma, Onno

Recent Developments in Statistics and Data Science: Spe2021, Évora, Portugal, October 13-16 by

The Theory of Statistical Implicative Analysis: Or the Implausibility of Falsehood ... When the Exception Confirms the Rule by Couturier, Raphaël, Gras, Régis, Bodin, Antoine

Emerging Topics in Modeling Interval-Censored Survival Data by

Visualization and Imputation of Missing Values: With Applications in R by Templ, Matthias

Bayesian Statistics, New Generations New Approaches: Baysm 2022, Montréal, Canada, June 22-23 by

Artificial Intelligence: Towards Sustainable Intelligence: First International Conference, Ai4s 2023, Pune, India, September 4-5, 2023, Proceedings by

Kafka Troubleshooting in Production: Stabilizing Kafka Clusters in the Cloud and On-Premises by Eldor, Elad

Survey Data Harmonization in the Social Sciences by

Statistics Using Stata by Weinberg, Sharon Lawner, Abramowitz, Sarah Knapp, Harel, Daphna

Statistical Inference and Machine Learning for Big Data by Alvo, Mayer

The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence by Hatfield, Neil J., Saldanha, Luis, Chernoff, Egan J.

Visualizing Surveys in R by Valtonen, Teppo

Diskurse Der Datenökonomie: Kontroversen Und Prozesse Kollektiver Wissensproduktion by Reinecke, Pauline Charlotte Marguerite

Interdisciplinary Statistics in Mexico: AME Virtual Meeting, September 10-11, 2020, and 34 Fne, Acatlán, Mexico, September 22-24, 2021 by

Estimating Presence and Abundance of Closed Populations by Seber, George A. F., Schofield, Matthew R.

Big Qual: A Guide to Breadth-And-Depth Analysis by Weller, Susie, Davidson, Emma, Edwards, Rosalind

Data Science and Machine Learning: 21st Australasian Conference, Ausdm 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings by

Das Management-Handbuch Für Chief Data Officer: Aufbau Und Betrieb Der Daten-Supply Chain Eines Unternehmens by Treder, Martin

Machine Learning Methods by Li, Hang

Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions by Downey, Allen B.

Tales of the Tail: Legendary Cats Throughout History by Raj, Solomon

Statistics Using R by Weinberg, Sharon Lawner, Harel, Daphna, Abramowitz, Sarah Knapp

Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners by Bishop, Dorothy V. M., Thompson, Paul

Evaluating What Works: An Intuitive Guide to Intervention Research for Practitioners by Thompson, Paul, Bishop, Dorothy V. M.

An Introduction to Optimization with Applications in Machine Learning and Data Analytics by Wheeler, Jeffrey Paul

Industry 4.0: Technologies, Applications, and Challenges by

The Learning and Teaching of Statistics and Probability: A Perspective Rooted in Quantitative Reasoning and Conceptual Coherence by Hatfield, Neil J., Saldanha, Luis, Chernoff, Egan J.

Spatial Statistics for Data Science: Theory and Practice with R by Moraga, Paula

The Art of Reinforcement Learning: Fundamentals, Mathematics, and Implementations with Python by Hu, Michael

ChatGPT for Beginners: Features, Foundations, and Applications by Sarrion, Eric

Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data by Bernasconi, Anna

Spatio-Temporal Methods in Environmental Epidemiology with R by Schmidt, Alexandra M., Zidek, James V., Shaddick, Gavin

Statistical Modelling and Risk Analysis: Selected Contributions from Icra9, Perugia, Italy, May 25-27, 2022 by

A Course in the Large Sample Theory of Statistical Inference by Oakes, David, Hall, W. Jackson

Introductory Statistics 2e (hardcover, full color) by Illowsky, Barbara, Dean, Susan

An Advanced Course in Probability and Stochastic Processes by Botev, Zdravko, Kroese, Dirk P.

Handbook on Federated Learning: Advances, Applications and Opportunities by

Big Data: 11th Ccf Conference, Bigdata 2023, Nanjing, China, September 8-10, 2023, Proceedings by

Critical Factors for Adoption of Customer Relationship Management: A Study of Palestine SMEs by Yusof, Zawiyah Mohammad, Salah, Omar Hasan, Mohamed, Hazura

Innovations in Multivariate Statistical Modeling: Navigating Theoretical and Multidisciplinary Domains by

From Possibilities to Results: Grasping Probability and Statistics by Vikram Mehta

Python Debugging for Ai, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach by Vostokov, Dmitry

Concise Guide to Quantum Machine Learning by Pastorello, Davide

Introduction to NFL Analytics with R by Congelio, Bradley J.

Stochastic Geometric Analysis with Applications by Calin, Ovidiu

Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications by Manokhin, Valery

Session-Based Recommender Systems Using Deep Learning by Mohamadrezaei, Rezvan, Ravanmehr, Reza

Business Statistics Using Excel: A Complete Course in Data Analytics by Panneerselvam, R.

Statistik und Wahrscheinlichkeit: leicht gemacht by Grönnäs, Gustav

Statistics Using Python by Campesato, Oswald

A Pen and Paper Introduction to Statistics by Marco, Antonio

Stochastische Partielle Differentialgleichungen by Tappe, Stefan

Starting Quantitative Analysis with R by Fruehwald, Josef

DNA Symmetry: A Statistical View by Ferreira, Paulo J. S. G., Afrexio, Vera, Bastos, Carlos A. C.

Statistical Inference for Copula and Tail Copula Models with Applications to Finance and Insurance by Peng, Liang, Zhang, Zhengjun

Fractional Deterministic and Stochastic Calculus by Pirozzi, Enrica, Ascione, Giacomo, Mishura, Yuliya

Rough Sets: International Joint Conference, Ijcrs 2023, Krakow, Poland, October 5-8, 2023, Proceedings by

Precision Medicine and Companion Diagnostic Devices by Li, Meijuan