Probability & Statistics in 2027
Probabilistic Modelling for Advanced Data Analysis
by
Tyagi, Amit Kumar
Amazon Bedrock Recipes: Practical Generative AI Applications on AWS
by
Shankar, Gowtham, Nainwal, Shashank
Mathematical Foundation of Artificial Intelligence: Geometric, Physical, Causal, and Autonomous AI
by
Xiong, Momiao
Architecting Coherence: Product Management in the Age of AI
by
Olding, Nina
Neural Networks and Statistical Learning
by
Du, Ke-Lin, Swamy, M. N. S.
Bivariate Copulas, Transformations and Measures of Concordance
by
Fuchs, Sebastian, Schmidt, Klaus D.
Isolation-Inspired Machine Learning: To Succeed When Deep Learning Fails
by
Ting, Kai Ming
Mathematical Elements of Modern Artificial Intelligence: Volume I: Mathematical Foundations, Optimization, and Learning Algorithms
by
Uncini, Aurelio
A Footbridge to Machine Learning: A 12-Week Introductory Course
by
Janaqi, Stefan
Confidence Intervals for Proportions: Analysis of Binary Data with Applications to Survival Analysis
by
Qin, Yuxin, Leemis, Lawrence, Krehbiel, Heather
Applied Stochastic Modeling
by
Blanco-Castañeda, Liliana, Arunachalam, Viswanathan
The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook
by
Rennie, Nicola
The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook
by
Rennie, Nicola
Statistical Models for Wildlife Survey Data
by
Dennis, Emily B., Morgan, B. J. T., Buckland, Stephen T.
Computational Differential Equations with AI: Modern Machine Learning Approaches
by
Gupta, Reema, Chakraverty, Snehashish, Kumar Samota, Sandeep
Information Retrieval and Deep Learning
by
Lan, Yanyan, Cheng, Xueqi, Guo, Jiafeng
Parameter Estimation in Fractional Stochastic Differential Equations
by
Bishwal, Jaya P. N.
Networks in Motion: Electric Vehicle Intelligence
by
Sinha, Saurabh, Nwulu, Nnamdi, Fanoro, Mokesioluwa
Medical Biostatistics, Fifth Edition
by
Malhotra, Rajeev Kumar, Indrayan, Abhaya
Big Data in Transportation: A Spatio-Temporal Analysis of Economic Approach
by
Li, Hongchang, Gu, Anya Lin
de Branges' Theory for Processes with Stationary Increments
by
Dzhaparidze, Kacha
Contemporary Extreme Value Methods: Inference, Computation, and Forecasting
by
Ardakani, Omid M.
Inside Metaheuristics: The Operators That Drive Optimization
by
Cuevas, Erik, González-Sánchez, Óscar A., Vega-Parra, Fernando
Ai-Driven Experimental Research in Nanomaterials: Advances in Catalysis, Energy Storage and Sensing
by
Evidenzbasierte Forschung in Den Sozial- Und Wirtschaftswissenschaften
by
Kindermann, Harald
Technische Zuverlässigkeit: Datenanalytik, Modellierung, Risikoprognose
by
Bracke, Stefan
Smart Integration of AI in Additive Manufacturing: Innovation, Application, and Future Directions
by
Spatial Crowdsourcing
by
Tong, Yongxin, Zeng, Yuxiang, Zhou, Zimu
Bayesian Macroeconometrics: Methods and Applications
by
Chan, Joshua C. C.
Bayesian Macroeconometrics: Methods and Applications
by
Chan, Joshua C. C.
Trust in Artificial Intelligence: Organizational, Educational, Technical and Societal Perspectives
by
Statistical Data Analysis Using R: A Practical Introduction
by
Chandra, Shalini, Kumar, Shrawan, Tyagi, Deepa
Statistical Data Analysis Using R: A Practical Introduction
by
Chandra, Shalini, Kumar, Shrawan, Tyagi, Deepa
Learning with Support Vector Machines: From Equations to Applications
by
Mishra, Bhubaneswari, Chakraverty, Snehashish
Statistical Degradation Data Analysis: Semiparametric and Nonparametric Stochastic Process Approaches
by
Ng, Hon Keung Tony, Palayangoda, Lochana
Design with Generative AI: Creativity in the Era of Machine Intelligence
by
Kim, Dongyun, Li, Lezhi
Machine Learning for Engineering Applications
by
Jin, Yan
From Independence to Feedback: A Staged Framework for Modeling Dependence in Longitudinal Data
by
Selby, Lori P., Wilson, Jeffrey R., Ramezani, Niloofar
Artificial Intelligence in Financial Services: Concepts and the Applications
by
Heo, Wookjae, Kim, Eunchan, Noh, Junhyug
Graphical Models
by
Lauritzen, Steffen L.
Unraveling AI Through Parallels to Human Behavior
by
Eskue, Nathan
Stochastic Models Applied to Air Pollution Studies: A Bayesian Approach
by
Rodrigues, Eliane Regina
Automated Machine Learning for Data-Centric Systems: Knowledge-Guided and Experience-Driven Approaches
by
Mu, Tianyu, Wang, Hongzhi, Wang, Chunnan
Machine Learning in Safety-Critical Applications
by
de Candido, Oliver, Koller, Michael
Sentiment and Reputation: A Statistical Approach: With R Support
by
Mitic, Peter
Laying the Foundation for Homomorphic Training of Neural Networks: An Analysis of the Required Computational Accuracy
by
Horn, Lukas Johannes
Lectures on Mathematical Statistics
by
Yang, Yisong
Statistics--Coping with Uncertainty: A Modern Introduction to Statistics in Times of Machine Learning
by
Kauermann, Göran, de Nicola, Giacomo, Fritz, Cornelius
Measure and Integration: An Introductory Path Toward Functional Analysis and Probability
by
Thorbjørnsen, Steen
Large Language Models: From Theory to Production
by
Pacheco Aznar, David, Vanegas, Esteban, Noguer I. Alonso, Miquel
Angewandte Statistik: Methodensammlung Mit R
by
Hedderich, Jürgen, Sachs, Lothar
Stochastik Für Das Gymnasiale Lehramt: Zwischen Hochschulmathematik, Schulbuch Und Unterrichtspraxis
by
Schnurr, Alexander
Non-Linearity in Financial Modeling - Vol 3: Practical Guide to Machine Learning in Financial Applications
by
Maitra, Sarit
Information Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew Barron
by
Trojan Code: Adversarial Machine Learning and Secure AI Systems
by
Kallas, Kassem
Parameter Estimation in Stochastic Partial Differential Equations
by
Bishwal, Jaya P. N.
Statistical Methods for Quality Engineering: A Practical Guide for Quality Professionals
by
Pardo, Scott A.
Sampling Algorithms: With R
by
Tillé, Yves
Statistical Methods and Machine Learning for Ranking Data
by
Alvo, Mayer, Yu, Philip L. H.
Random Point Sources: A Mathematical Theory of Point-Source Recovery
by
Clark, Daniel
Building Thinking Machines: Foundation of Agentic AI
by
Velankar, Makarand, Mahalle, Parikshit N., Rajput, Vaishali S.
Machine Learning, Dynamic Optimization, and Control: From Adjoints and Bellman Equations to Reinforcement Learning, Diffusion Models, and Neural Dynam
by
Tran, Minh-Binh, Bensoussan, Alain
Foundations of Deep Learning and Artificial Intelligence
by
Kung, Sunyuan
Modern Machine Learning and Pattern Recognition
by
Bouchaffra, Djamel
Fairness in Machine Learning: From Theory to Regulation
by
Laclau, Charlotte, Gourru, Antoine, Maxwell, Winston
Quantum Machine Learning Codebook: Build Hybrid Models with Pennylane, Cirq, and Qiskit in Notebooks
by
Groppe, Sven, Wayo, Dennis
The Calculus of Data: A Rigorous Pythonic Primer
by
Unpingco, José
Introduction to Deep Learning: Neural Networks, Large Language Models and Agentic AI
by
Skansi, Sandro, Sekrst, Kristina
Advanced Concepts in Transformers for Deep Learning
by
Yadla, Prasanth
From Knowledge Extraction to Technological Forecasting: New Frontiers with Artificial Intelligence
by
Collecting, Processing and Presenting Geoscientific Information with Python
by
Sillmann, Elisabeth, Trauth, Martin H.
Pan-African Conference on Artificial Intelligence: 4th Pan African Conference, Panafricon AI 2025, Addis Ababa, Ethiopia, November 20-21, 2025, Procee
by
Girma Debelee, Taye
Data Fabric Technologies and Systems: Unifying Data Ecosystems, Data Science, AI and Data Agents
by
Karlapalem, Kamalakar, Pisipati, Radha Krishna
The Journey of Large Language Models and Retrieval-Augmented Generation Systems: Architectures and Innovations Behind Gpt, Llama, Gemini, Claude, Falc
by
Neha, Fnu, Kasturiarachi, Aloysius Bathi, Bhati, Deepshikha
Machine Learning and Deep Learning Meet Computer Networks
by
Santikellur, Pranesh, Chakraborty, Rajat Subhra, Roy, Sangita
Analyzing Multiple Time Series: Learning and Monitoring Complex Patterns
by
Ravishanker, Nalini, Reis, Marco S., Kenett, Ron S.
Data Scientists and AI: Human-Machine Information Developers for Decision-Making
by
Paczkowski, Walter R.
Practical AI: A Blueprint for Building Intelligent Products
by
Michelucci, Umberto
Federated Learning for Privacy-Preserving AI Systems: Theory, Applications, and Implementation
by
Sambasivam, Samuel
Verified AI Systems for Technical Reasoning: Evidence, Retrieval, Uncertainty, and Evaluation for Reference-Aware Assistants
by
Unpingco, José
Branching Processes for Population Dynamics
by
Bansaye, Vincent
Stochastic Mechanics and Fractals: Within or Beyond the Entropy Inequality
by
Ostoja-Starzewski, Martin
Theory of Combinatorial Games in Graphs
by
Martins, Nicolas, Araújo, Samuel, Nisse, Nicolas
Compositional Optimization for Advanced Machine Learning
by
Yang, Tianbao
Linear Models Theory for Data Science
by
Deng, Xinwei, Hong, Yili, Morgan, John P.
Undergraduate Mathematics Competitions (1995-2026): Taras Shevchenko National University of Kyiv
by
Brayman, Volodymyr, Kukush, Alexander
A Practical Guide to Artificial Intelligence in Neuroscience
by
Fallah, Nader
AI Agent Evaluation: Benchmarking and Testing Agent Quality for Product Leaders
by
Bokhari, Fawaz, Mansoor, Abdullah
Mostly Contracting Random Maps
by
Barrientos, Pablo G., Malicet, Dominique
Misinformation Detection: A Signal Processing and Machine Learning Perspective
by
Corizzo, Roberto, Boukouvalas, Zois, Casimiro Cavalcante, Charles
Contraction and Reaction in Generalized Schrödinger Bridges
by
Teter, Alexis M. H.
Bayesian Regression and Causal Inference: With Examples in R
by
Ponnoprat, Donlapark
Biodiversity Analytics: From Foundations to Applications: Tools, Methods, and Case Studies in Computational Ecology
by
Ghosh, Moumita, Chakraborty, Sanjay
Privacy-Preserving Federated Learning: Foundations, Techniques, and Practice
by
Xu, Runhua, Joshi, James B. D.
Optimised: The Silent Surrender to Intelligent Machines
by
Fergus, Paul
Mathematical Analysis, Probability, and Statistics: Basic Theory and Practical Applications to Economics
by
Covei, Dragoş-Pătru
Models and Methods for Large-Scale Interpersonal Networks: Space and Structure
by
Butts, Carter T., Almquist, Zack W.
Spatial Data Mining: Theory and Application
by
Li, Deyi, Li, Deren, Wang, Shuliang
Measure and Integration
by
Elstrodt, Jürgen
Collecting, Processing and Presenting Geoscientific Information with Matlab(r)
by
Sillmann, Elisabeth, Trauth, Martin H.
Modeling, Learning and Control of Complex Dynamical Systems: Toward Human-Robot Collaboration
by
Cheng, Hong, Zhang, Jingting, Yuan, Chengzhi
Higher-Order Graph Analytics: Models, Algorithms and Applications
by
Zhang, Wenjie, Yuan, Long, Yang, Zhengyi
AI and Machine Learning for Modern Payment Risk
by
Liu, Simon
Urban Knowledge Graph: Construction, Representation and Application
by
Zhou, Zhilun, Li, Yong, Liu, Yu
Quantum True Random Number Generators: Statistical Properties, Quantumness and Security Certification
by
Maitra, Arpita, Kumar, Rajesh, Pal, Saibal Kumar
Large Language Model Agents: Design, Architecture, and Practical Implementation
by
Wen, Muning, Lin, Jianghao, Zhang, Weinan
Deep Reinforcement Learning for Robust Agent Systems
by
Liu, Guanjun, Zhou, Ziyuan, Yang, Min
Quantum Machine Learning: Theory and Practice
by
Li, Lei, Guo, Guoping, Fang, Yuan
Visuo-Tactile Sensor in Robotics: Design, Perception, and Manipulation with Emphasis on the Tactedge Sensor
by
Zhang, Shixin, Sun, Yuhao, Fang, Bin
Robot Learning: From Concept to Application
by
Zhang, Wei
Proceedings of the 6th International Conference on High Performance Big Data and Intelligent Systems
by
Principles and Technologies of Large Models
by
Gong, Lina, Wei, Mingqiang
Pattern Recognition and Machine Learning for Self-Study II: Unsupervised Learning
by
Ishii, Kenichiro, Ueda, Naonori
Reliability Analysis of High-Altitude Telecommunication Platforms: Stochastic, Risk Trees and Simulation Approaches
by
Raj, Raina, Selvamuthu, Dharmaraja, Vishnevsky, Vladimir M.
Intelligent Ophthalmic Imaging Technology
by
Li, Heng, Higashita, Risa
Kodierungen Analysieren Und Visualisieren: Mixed-Methods-Datenanalyse Mit Maxqda Und R
by
Galle, Marco, Iten, Glena
Elementary Probability: The Ideas Before the Theory
by
Baldi, Paolo
