Probability and statistics

This research monograph gives a detailed account of a theory which is mainly concerned with certain classes of degenerate differential operators, Markov semigroups and approximation processes.

This monograph is a concise introduction to the stochastic calculus of variations (also known as Malliavin calculus) for processes with jumps.

This book is summarizing the results of the workshop "e;Uniform Distribution and Quasi-Monte Carlo Methods"e; of the RICAM Special Semester on "e;Applications of Algebra and Number Theory"e; in October 2013.

This book offers a high-level treatise of evidence-based decisions in drug development.

This textbook is devoted to the general asymptotic theory of statistical experiments.

Your government warns that 10% of your neighbors have a deadly contagious virus.

This research monograph gives a detailed account of a theory which is mainly concerned with certain classes of degenerate differential operators, Markov semigroups and approximation processes.

The book gives a systematical presentation of stochastic approximation methods for models of American-type options with general pay-off functions for discrete time Markov price processes.

This book is summarizing the results of the workshop "e;Uniform Distribution and Quasi-Monte Carlo Methods"e; of the RICAM Special Semester on "e;Applications of Algebra and Number Theory"e; in October 2013.

The book presents advanced stochastic models and simulation methods for random flows and transport of particles by turbulent velocity fields and flows in porous media.

Now in its second edition, this textbook provides an introduction to Python and its use for statistical data analysis.

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018.

This book deals with analytic treatments of Markov processes.

This textbook, now in its second revised and extended edition, presents the fundamental ideas and results of both probability theory and statistics.

This is the proceedings of the "e;8th IMACS Seminar on Monte Carlo Methods"e; held from August 29 to September 2, 2011 in Borovets, Bulgaria, and organized by the Institute of Information and Communication Technologies of the Bulgarian Academy of Sciences in cooperation with the International Association for Mathematics and Computers in Simulation (IMACS).

This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange).

This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors.

Brownian motion is one of the most important stochastic processes in continuous time and with continuous state space.

This book grew out of a course taught in the Department of Mathematics, Indian Institute of Technology, Delhi, which was tailored to the needs of the applied community of mathematicians, engineers, physicists etc.

Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s.

Bernstein functions appear in various fields of mathematics, e.

Fractional calculus is a rapidly growing field of research, at the interface between probability, differential equations, and mathematical physics.

This monograph is devoted to the systematic presentation of foundations of the quantum field theory.

This textbook is devoted to the general asymptotic theory of statistical experiments.

This book is devoted to impulsive functional differential equations which are a natural generalization of impulsive ordinary differential equations (without delay) and of functional differential equations (without impulses).

This book is divided into two parts, the first of which seeks to connect the phase transitions of various disciplines, including game theory, and to explore the synergies between statistical physics and combinatorics.

This book is a collection of state-of-the-art surveys on various topics in mathematical finance, with an emphasis on recent modelling and computational approaches.

This text is a step-by-step guide for students taking a first course in statistics for advertising and for advertising managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics.

Sound is almost always around us, anywhere, at any time, reaching our ears and stimulating our brains for better or worse.

This book applies the multidisciplinary approaches of econometrics, statistics, finance and artificial intelligence for pricing and forecasting the carbon market in the context of managerial issues.

This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra.

This book is an introduction to financial mathematics.

?

This book presents the basic concepts and recent developments of linear control problems with perturbations.

Significant interest in the investigation of systems with discontinuous trajectories is explained by the development of equipment in which significant role is played by impulsive control systems and impulsive computing systems.

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals.

This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science.

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing, normal regression analysis, and normal analysis of variance.