62 Statistics and Statistical


Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational Astronomy)
Information Theory, Inference, and Learning Algorithms
Information Geometry: Near Randomness and Near Independence (Lecture Notes in Mathematics, 1953)
Linear Algebra and Matrix Analysis for Statistics (Chapman & Hall/CRC Texts in Statistical Science)
Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives (Information Science and Statistics)
Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
Forecasting, Structural Time Series Models and the Kalman Filter
Computational Statistics
Reproducing Kernel Hilbert Spaces in Probability and Statistics
Nonlinear Time Series Analysis
Time Series: Theory and Methods: Time Series: Theory and Methods (Springer Series in Statistics)
Differential Geometry and Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Networks: Optimisation and Evolution (Cambridge Series in Statistical and Probabilistic Mathematics Book 21)
Science and Information Theory
Principles of Uncertainty (Chapman & Hall/CRC Texts in Statistical Science)