Probability & Statistics in 2022

Transparency and Interpretability for Learned Representations of Artificial Neural Networks by Meyes, Richard

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

Exploring Modeling with Data and Differential Equations Using R by Zobitz, John

Advances in Data Science by

Emerging Topics in Modeling Interval-Censored Survival Data by

Computational Intelligence-based Time Series Analysis by

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

Multivariate Reduced-Rank Regression: Theory, Methods and Applications by Chen, Kun, Velu, Raja P., Reinsel, Gregory C.

Inverse Probleme Mit Stochastisch Modellierten Messdaten: Stochastische Und Numerische Methoden Der Diskretisierung Und Optimierung by Richter, Mathias, Schäffler, Stefan

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

Information Retrieval in Bioinformatics: A Practical Approach by

A Lifetime of Excursions Through Random Walks and Lévy Processes: A Volume in Honour of Ron Doney's 80th Birthday by

Kontinuierliche Messgrößen Und Stichprobenstrategien in Raum Und Zeit: Mit Anwendungen in Den Natur-, Umwelt-, Wirtschafts- Und Finanzwissenschaften by Hebbel, Hartmut, Steuer, Detlef

Quantitative Unternehmensplanung: Mathematische Methoden Und Betriebliche Anwendungsbeispiele by Bankhofer, Udo

Federated Learning for Wireless Networks by Chen, Mingzhe, Hong, Choong Seon, Khan, Latif U.

Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach by Colange, Benoit, Dutykh, Denys, Lespinats, Sylvain

Data Science for Infectious Disease Data Analytics: An Introduction with R by Wang, Lily

Digital Therapeutics: Strategic, Scientific, Developmental, and Regulatory Aspects by

Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do about It by Thompson, Erica

Data Mining: 20th Australasian Conference, Ausdm 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings by

Mathematical Recreations from the Tournament of the Towns by Taylor, Peter, Liu, Andy

Probability Theory Lecture Notes by Abouelseoud, Yasmine

Industry 4.0: Technologies, Applications, and Challenges by

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan by Xu, Jun

Dicing with Death by Senn, Stephen

Digital Transformation: 14th Plais Eurosymposium on Digital Transformation, Plais Eurosymposium 2022, Sopot, Poland, December 15, 2022, Proceedings by

Robust Latent Feature Learning for Incomplete Big Data by Wu, Di

Probability and Statistics for Science and Engineering with Examples in R by Ahn, Hongshik

Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions by

Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations by Tan, Frans E. S., Jolani, Shahab

Handbook of Statistical Bioinformatics by

Grey Systems Analysis: Methods, Models and Applications by Liu, Sifeng, Yang, Yingjie, Forrest, Jeffrey Yi-Lin

3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods by Kadam, Pranav, Liu, Shan, Zhang, Min

Introduction to Stochastic Finance with Market Examples by Privault, Nicolas

Statistics and Research Methods for Acute Care and General Surgeons by

Stochastic Transport in Upper Ocean Dynamics: Stuod 2021 Workshop, London, Uk, September 20-23 by

Psychometrics with R: Basic Theories, Computer-Oriented Applications, and Interactive Graphics by Uenlue, Ali

Microarray Data Analysis by

Assessing Covid-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis by

Exponential Families in Theory and Practice by Efron, Bradley

Case Studies in Bayesian Methods for Biopharmaceutical CMC by

Exponential Families in Theory and Practice by Efron, Bradley

The ASQ Certified Six Sigma Black Belt Handbook, Fourth Edition by

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

Commodities: Fundamental Theory of Futures, Forwards, and Derivatives Pricing by

Factor Analysis and Dimension Reduction in R: A Social Scientist's Toolkit by Garson, G. David

Classical Analysis: An Approach Through Problems by Chen, Hongwei

Number Savvy: From the Invention of Numbers to the Future of Data by Sciadas, George

Factor Analysis and Dimension Reduction in R: A Social Scientist's Toolkit by Garson, G. David

Concise Guide to Quantum Machine Learning by Pastorello, Davide

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning by Liu, John, Kamath, Uday

Beginner's Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications by Raghavendra, Sujay

Proceedings of the Forum Math-For-Industry 2018: Big Data Analysis, Ai, Fintech, Math in Finances and Economics by

Financial Mathematics: From Discrete to Continuous Time by Hastings, Kevin J.

Non-Homogeneous Markov Chains and Systems: Theory and Applications by Vassiliou, P. -C G.

Financial Mathematics: A Comprehensive Treatment in Continuous Time Volume II by Campolieti, Giuseppe, Makarov, Roman N.

A Study of Quality Management of Official Statistics in China by Zeng, Wuyi

Computational Intelligence for Covid-19 and Future Pandemics: Emerging Applications and Strategies by

Advanced Probability and Statistics: Remarks and Problems by Parthasarathy, Harish

Das Probabilistische Sir-Modell (Psir) Im Pandemieprozess: Projektmanagement in Der Vorsorge Und Der Begleitung by Hellwig, Marcus

Mechanistic Data Science for Stem Education and Applications by Liu, Wing Kam, Gan, Zhengtao, Fleming, Mark

The Reliability of Generating Data by Krippendorff, Klaus

Statistical Theory: A Concise Introduction by Ritov, Ya'acov, Abramovich, Felix

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

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

The Psychometrics of Standard Setting: Connecting Policy and Test Scores by Reckase, Mark D.

Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics by Cohen, Maxime C., Gras, Paul-Emile, Pentecoste, Arthur

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python by Kulkarni, Anoosh, Kulkarni, Akshay R., Shivananda, Adarsha

Measuring Growth in Educational Settings by Briggs, Derek

Productionizing AI: How to Deliver AI B2B Solutions with Cloud and Python by Walsh, Barry

Quantitative Methods for Precision Medicine: Pharmacogenomics in Action by Wu, Rongling

Reinforcement Learning for Finance: Solve Problems in Finance with CNN and Rnn Using the Tensorflow Library by Ahlawat, Samit

Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables by Reitano, Robert R.

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

Probability and Statistics for Engineering and the Sciences with Modeling Using R by Sturdivant, Rodney X., Fox, William P.

Big Data Analytics in Oncology with R by Bhattacharjee, Atanu

Thinking about Statistics: The Philosophical Foundations by Otsuka, Jun

Modern Deep Learning for Tabular Data: Novel Approaches to Common Modeling Problems by Ye, Andre, Wang, Zian