Probability & Statistics in 2024

Advanced Classical and Quantum Probability Theory with Quantum Field Theory Applications by Parthasarathy, Harish

Classical and Quantum Information Theory for the Physicist by Parthasarathy, Harish

Stochastic Processes in Classical and Quantum Physics and Engineering by Parthasarathy, Harish

G Families of Probability Distributions: Theory and Practices by

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi by Duthie, A. Bradley

The Non-Uniform Riemann Approach to Stochastic Integration by Chew, Tuan Seng, Toh, Tin Lam, Boonpogkrong, Varayu

Xgenius: Expected Goals and the Science of Winning Football Matches by Tippett, James

Statistical Machine Learning for Engineering with Applications by

Deep Generative Models: 4th Miccai Workshop, Dgm4miccai 2024, Held in Conjunction with Miccai 2024, Marrakesh, Morocco, October 10, 2024, Proceedings by

Cancer Prevention, Detection, and Intervention: Third Miccai Workshop, Caption 2024, Held in Conjunction with Miccai 2024, Marrakesh, Morocco, October by

Analysis of Fork-Join Systems: Network of Queues with Precedence Constraints by Sethuraman, Samyukta

Change Request Impacts in Software Maintenance by Prasad, Kalli Srinivasa Nageswara, Kumar, Madapuri Rudra, Rao, Annaluri Sreenivasa

Applied Statistics in Social Sciences by Calderín-Ojeda, Enrique, Gómez-Déniz, Emilio

Multi-Fractal Traffic and Anomaly Detection in Computer Communications by Li, Ming

Select Topics in Signal Analysis by Parthasarathy, Harish

Handbook of Sharing Confidential Data: Differential Privacy, Secure Multiparty Computation, and Synthetic Data by

Advances on Graph-Based Approaches in Information Retrieval: First International Workshop, Irongraphs 2024, Glasgow, Uk, March 24, 2024, Proceedings by

Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer by Diwan, Anjali, Shah, Sejal, Thanki, Rohit M.

Statistical Methods in Human Genetics by Mukhopadhyay, Indranil, Majumder, Partha Pratim

Elliptically Symmetric Distributions in Signal Processing and Machine Learning by

Shallow Learning vs. Deep Learning: A Practical Guide for Machine Learning Solutions by

Ethics and Fairness in Medical Imaging: Second International Workshop on Fairness of AI in Medical Imaging, Faimi 2024, and Third International Worksh by

Databricks Data Intelligence Platform: Unlocking the Genai Revolution by Yip, Jason, Gupta, Nikhil

Introduction to Financial Mathematics by Hastings, Kevin J.

Statistical and Computational Methods in Brain Image Analysis by Chung, Moo K.

An Introduction to Stochastic Processes with Applications to Biology by Allen, Linda J. S.

Nonlinear Option Pricing by Henry-Labordere, Pierre, Guyon, Julien

Dynamic Prediction in Clinical Survival Analysis by Putter, Hein, Van Houwelingen, Hans

Risk Parity Fundamentals by Qian, Edward E.

Linear Algebra and Probability for Computer Science Applications by Davis, Ernest

Risk Analysis in Engineering and Economics by Ayyub, Bilal M.

Methods in Brain Connectivity Inference Through Multivariate Time Series Analysis by

Statistical Techniques for Neuroscientists by

Robust Cluster Analysis and Variable Selection by Ritter, Gunter

Steel Informatics: Analysing Data of a Complex Materials System by Ganguly, Subhas, Datta, Shubhabrata

Multivariate Generalized Linear Mixed Models Using R by Berridge, Damon Mark, Crouchley, Robert

Introduction to Ecological Sampling by

Bayesian Adaptive Methods for Clinical Trials by Lee, J. Jack, Berry, Scott M., Carlin, Bradley P.

Mathematics for the Environment by Walter, Martin

Statistical Methods in Biology: Design and Analysis of Experiments and Regression by Gezan, S. a., Clark, S. J., Welham, S. J.

Multiple Factor Analysis by Example Using R by Pagès, Jérôme

Introduction to Risk Parity and Budgeting by Roncalli, Thierry

Design and Analysis of Cross-Over Trials by Kenward, Michael G., Jones, Byron

Frailty Models in Survival Analysis by Wienke, Andreas

Analysis of Capture-Recapture Data by Morgan, Byron J. T., McCrea, Rachel S.

Stated Preference Methods Using R by Aizaki, Hideo, Nakatani, Tomoaki, Sato, Kazuo

Quasi-Least Squares Regression by Hilbe, Joseph M., Shults, Justine

Statistical Methods for Qtl Mapping by Chen, Zehua

Introduction to Credit Risk Modeling by Wagner, Christoph, Bluhm, Christian, Overbeck, Ludger

Mathematical Statistics for Applied Econometrics by Moss, Charles B.

Introduction to General and Generalized Linear Models by Madsen, Henrik, Thyregod, Poul

Introductory Fisheries Analyses with R by Ogle, Derek H.

Probability Analysis of Selected Population Models by El Idrissi, Mourad, Settati, Adel, Lahrouz, Aadil

Analysis of Variance for Functional Data by Zhang, Jin-Ting

Risk Assessment and Decision Analysis with Bayesian Networks by Fenton, Norman, Neil, Martin

Actuarial Loss Models: A Concise Introduction by Gan, Guojun

Natural Language Generation by Reiter, Ehud

Information Technologies and Their Applications: Second International Conference, Itta 2024, Baku, Azerbaijan, April 23-25, 2024, Proceedings, Part II by

Information Technologies and Their Applications: Second International Conference, Itta 2024, Baku, Azerbaijan, April 23-25, 2024, Proceedings, Part I by

Advanced Methods in Statistics, Data Science and Related Applications: Sis 2022, Caserta, Italy, June 22-24 by

Probabilistic Spiking Neuronal Nets: Neuromathematics for the Computer Era by Galves, Antonio, Löcherbach, Eva, Pouzat, Christophe

Statistik im Bachelor: Einfach verstehen, erfolgreich anwenden: Klausurentrainer Statistik Wirtschaftswissenschaften 1. Auflage by Koch, Nick, Kaesler, Ruben

Datengetriebenes Marketing: Wie Unternehmen Daten Zur Skalierung Ihres Geschäfts Nutzen Können by Rashedi, Jonas

Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions by Frost, Jim

Probability Theory I: Random Variables and Distributions by Pascucci, Andrea

Handbook of AI and Data Sciences for Sleep Disorders by

Introduction to Transfer Learning: Algorithms and Practice by Wang, Jindong, Chen, Yiqiang

Advances in Neural Computation, Machine Learning, and Cognitive Research VIII: Selected Papers from the XXVI International Conference on Neuroinformat by

Two-Dimensional Product Cubic Systems, Vol. VII: Self- Quadratic Vector Fields by Luo, Albert C. J.

Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis by

Embedded Machine Learning with Microcontrollers: Applications on Arduino Boards by Ünsalan, Cem, Höke, Berkan, Atmaca, Eren

Artificial Neural Networks: Alpha Unpredictability and Chaotic Dynamics by Akhmet, Marat, Tleubergenova, Madina, Zhamanshin, Akylbek

Machine Learning in Medical Imaging: 15th International Workshop, MLMI 2024, Held in Conjunction with Miccai 2024, Marrakesh, Morocco, October 6, 2024 by

Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science: Essays in Honour of Wolfgang Schmid by

Computation of Artificial Intelligence and Machine Learning: First International Conference, Iccaiml 2024, Jaipur, India, January 18-19, 2024, Proceed by

Handbook of Statistical Methods for Precision Medicine by

Introduction to Python and Large Language Models: A Guide to Language Models by Grigorov, Dilyan

High-Quality and Timely Statistics: New Methods and Applications by

Digressions in Elementary Probability: The Unexpected in Medicine, Sports, and Society by Beltrami, Edward

Embedded Machine Learning with Microcontrollers: Applications on Stm32 Development Boards by Ünsalan, Cem, Höke, Berkan, Atmaca, Eren

Stochastic Thermodynamic Treatment of Thermal Anisotropy by Movilla Miangolarra, Olga

Transactions on Large-Scale Data- And Knowledge-Centered Systems LVII by

Thinking Analytically: A Guide for Making Data-Driven Decisions by Frost, Jim

Shape in Medical Imaging: International Workshop, Shapemi 2024, Held in Conjunction with Miccai 2024, Marrakesh, Morocco, October 6, 2024, Proceedings by

Big Data Infrastructure Technologies for Data Analytics: Scaling Data Science Applications for Continuous Growth by Chertov, Oleg, Demchenko, Yuri, Cuadrado-Gallego, Juan J.

Artificial Intelligence-Based Healthcare Systems by

Database Systems for Advanced Applications: 29th International Conference, Dasfaa 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part IV by

Principles of Machine Learning: The Three Perspectives by Wang, Wenmin

Análisis del proceso de atención al cliente mediante la teoría de fila by Zavala Hernández, Gabriela, Orozco Montañez, Ilce Nallely

Recent Advances in Econometrics and Statistics: Festschrift in Honour of Marc Hallin by

Simple-G: A Gridded Economic Approach to Sustainability Analysis of the Earth's Land and Water Resources by

Statistical Significance and the Phc Curve by Toyoda, Hideki

Normbezüge Und Alternative Statistische Verfahren Im Kontext Sport Und Gesundheit: Einführung in Normen, Benchmarkbestimmung Und Minimum-Effekte by Fröhlich, Michael, Pieter, Andrea, Kemmler, Wolfgang

ChatGPT for Marketing: Learn Practical Applications of ChatGPT for Marketing by Najafov, Eldar

Stochastic Analysis For Some Non-Linear Epidemic Models by El Idrissi, Mourad, Settati, Adel, Lahrouz, Aadil

Data Quality Management in the Data Age: Excellence in Data Quality for Enhanced Digital Economic Growth by Yu, Haiyan

Data Science: 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, Icpcsee 2024, Macao, China, September 27-30, 2 by

Understanding Elections through Statistics: Polling, Prediction, and Testing by Forsberg, Ole J.

Blockchain Transaction Data Analytics: Complex Network Approaches by

Supervised Machine Learning for Science: How to stop worrying and love your black box by Molnar, Christoph, Freiesleben, Timo

Understanding Elections through Statistics: Polling, Prediction, and Testing by Forsberg, Ole J.

Modern Time Series Forecasting with Python - Second Edition: Industry-ready machine learning and deep learning time series analysis with PyTorch and p by Tackes, Jeffrey, Joseph, Manu

Die Faszinierende Welt Der Wahrscheinlichkeitsrechnung: Stochastik in Aktion by Tijms, Henk C.

Introduction to Quantitative Social Science with Python by Zinoviev, Dmitry, Zhang, Weiqi

Introduction to Quantitative Social Science with Python by Zhang, Weiqi, Zinoviev, Dmitry

Generalized Kernel Equating with Applications in R by Von Davier, Alina A., Wiberg, Marie, Gonzalez, Jorge

Distribution Dependent Stochastic Differential Equations by Wang, Feng-Yu, Ren, Panpan

Nonlinear Trending Time Series: Theory and Practice by Vahid, Farshid, Chen, Li, Gao, Jiti

Artificial Intelligence Over Infrared Images for Medical Applications: Third International Conference, Aiiima 2024, Virtual Event, November 9, 2024, P by

Advances in Mathematical and Computational Sciences: Proceedings of the Icrtmpcs International Conference 2023 by

Maß Und Integral: Lebesgue-Integration Für Analysis Und Stochastik by Schilling, René L.

Irrfahrten - Faszination Der Random Walks: Ein Elementarer Einstieg in Die Stochastischen Prozesse by Henze, Norbert

Skew-Normal Model Theories and Their Applications by Qi, Yue, Ye, Rendao, Zhu, Wenyan

Stochastic Lagrangian Adaptation by Caines, Peter E., Levanony, David

Data Science and Artificial Intelligence: Second International Conference, Dsai 2024, Medan, Indonesia, November 13-15, 2024, Proceedings by

Statistik Hautnah: 27 Persönliche Einblicke in Eine Faszinierende Wissenschaft by

Homomorphic Encryption for Data Science (He4ds) by Adir, Allon, Aharoni, Ehud, Drucker, Nir

Information Technologies in the Design of Aerospace Engineering by

Two-Dimensional Product-Cubic Systems, Vol.II: Product-Quadratic Vector Fields by Luo, Albert C. J.

Machine Learning Algorithms: First International Conference, Icmla 2024, Himachal Pradesh, India, February 23-24, 2024, Proceedings by

Financial Data Analytics with Machine Learning, Optimization and Statistics by Yam, Phillip, Cheung, Ka Chun, Chen, Sam

Foundations of Quantitative Finance, Book VI: Densities, Transformed Distributions, and Limit Theorems by Reitano, Robert R.

The False Discovery Rate: Its Meaning, Interpretation and Application in Data Science by Galwey, N. W.

Nuevos Enfoques de los Diseños Complejos by Tilano Hernéndez, Jorge

Introduction to Probability and Statistics for Data Science by Montgomery, Douglas C., Fricker, Ronald D., Jr., Rigdon, Steven E.

Big Data - Bigdata 2024: 13th International Conference, Held as Part of the Services Conference Federation, Scf 2024, Bangkok, Thailand, November 16-1 by

Introduction to Probability and Statistics for Data Science by Montgomery, Douglas C., Fricker, Ronald D., Jr., Rigdon, Steven E.

Learn Data Science Using Python: A Quick-Start Guide by Fouda, Engy

Intelligent Systems in Computing and Communication: First International Conference, Isccomm 2023, Moodabidri, India, December 8-9, 2023, Proceedings, by

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 27th Iberoamerican Congress, Ciarp 2024, Talca, Chile, November 26 by

Knowledge and Systems Sciences: 23rd International Symposium, Kss 2024, Hobart, Tas, Australia, November 16-17, 2024, Proceedings by

Engineering Natural Silk: Applications and Future Directions by

Decision Superhero Book 1: Driving Informed Decision-Making with Probability, Explainable Models, and Decision Science by Torkia, Eric, Klimack, William

Decision Superhero Book 1: Driving Informed Decision-Making with Probability, Explainable Models, and Decision ScienceDriving Informed Decision-Making by Klimack, William, Torkia, Eric

Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory by Elmusrati, Mohammed

Stochastic Transport in Upper Ocean Dynamics III: Stuod 2023 Workshop, Plouzané, France, September 25-28 by

Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI by Dua, Ishneet Kaur, Patel, Parth Girish

Bayesian Nonparametric Statistics: École d'Été de Probabilités de Saint-Flour Li - 2023 by Castillo, Ismaël

Exploring Complex Survey Data Analysis Using R: A Tidy Introduction with {Srvyr} and {Survey} by Velásquez, Isabella, Powell, Rebecca, Zimmer, Stephanie

Intelligent Data Engineering and Automated Learning - Ideal 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, P by

Probability for Dummies by Rumsey, Deborah J.

Probability Theory, An Analytic View by Stroock, Daniel W.

Recent Trends and Advances in Artificial Intelligence: Selected Papers from Icaeta-2024 by

Analyse Des Données Quantitatives by Rakotoarisoa, Anjara Lalaina Jocelyn

Die Gouvernementalität Von Algorithmen: Selbstbestimmung Und Anpassung Bei Predictive Learning Analytics by Berns, Christina

AI 2024: Advances in Artificial Intelligence: 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, Vic, Australia, Novem by

Kriging in Slope Reliability Analysis by Huang, Lei, Liu, Lei-Lei, Li, Jing-Ze

Foundation of Probability Theory by Wang, Feng-Yu, Mao, Yong-Hua

Exploring Stochastic Approaches to Epidemic Modeling: Concepts and Use by Settati, Adel, Lahrouz, Aadil, Aznague, Soulaimane

Summary Statistics by Hasan, M. K.

Scientific Data Analysis with R: Biostatistical Applications by Rahman, Azizur, Abdulla, Faruq, Hossain, MD Moyazzem

Grundlagen Der Wahrscheinlichkeitsrechnung: Die Theorie Schrittweise Anhand Zentraler Themen Entwickelt by Hinrichs, Günter

Reliability and Maintenance Modeling with Optimization: Advances and Applications by

Process Mining Techniques for Managing and Improving Healthcare Systems by Zayoud, Maha

Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models by

Cybersecurity: Technology and Governance by Jøsang, Audun

Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making by Das, Subhajit

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part V by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VIII by

Building Applications with Large Language Models: Techniques, Implementation, and Applications by Singh, Bhawna

Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications by Neuer, Marcus J.

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IV by

The Statistical Analysis of Small Data Sets by Neuhäuser, Markus, Ruxton, Graeme D.

The Statistical Analysis of Small Data Sets by Ruxton, Graeme D., Neuhäuser, Markus

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part II by

Data Science Training - Supervised Learning: Ein Praktischer Einstieg Ins Überwachte Maschinelle Lernen by Selle, Stefan

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIV by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIII by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIV by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVII by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXIII by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVIII by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIX by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIII by

Applied Data Science Using Pyspark: Learn the End-To-End Predictive Model-Building Cycle by Dhamodharan, Balaji, Kakarla, Ramcharan, Krishnan, Sundar

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part I by

Generative AI in Banking Financial Services and Insurance: A Guide to Use Cases, Approaches, and Insights by Verma, Shalaka, Mahajan, Jayant, Saxena, Anshul

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVII by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVIII by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VI by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XI by

Introduction to Classifier Performance Analysis with R by Saw, Sutaip L. C.

Devops Simplified: Zero-Maintenance Strategies for AWS Eks: Efficient Deployment and Management Strategies for AWS Eks Environments with Terraform by Kozhevin, Dmytro

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXI by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXII by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XV by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVI by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIX by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXX by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXI by

Pattern Recognition: 27th International Conference, Icpr 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VII by