Probability and statistics

Quantitative Methods for Portfolio Analysis provides practical models and methods for the quantitative analysis of financial asset prices, construction of various portfolios, and computer-assisted trading systems.

Understand Up-to-Date Statistical Techniques for Financial and Actuarial ApplicationsSince the first edition was published, statistical techniques, such as reliability measurement, simulation, regression, and Markov chain modeling, have become more prominent in the financial and actuarial industries.

A modern introduction to the Poisson process, with general point processes and random measures, and applications to stochastic geometry.

Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics.

This is a developing area of modern probability theory, which has applications in many areas.

This book presents a radically new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems.

Public-Private Partnerships (PPP or 3Ps) allow the public sector to seek alternative funding and expertise from the private sector during procurement processes.

The aim of this book is to offer a river-basin management plan which is directly implementable and consistent with the European Union -Water Framework Directive (EU WFD).

This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables.

This book explores all relevant aspects of net scoring, also known as uplift modeling: a data mining approach used to analyze and predict the effects of a given treatment on a desired target variable for an individual observation.

This book presents, for the first time, data analytics for smart infrastructures.

Intangible, invisible and worth trillions, risk is everywhere.

Competition for research funds in epidemiology, preventive medicine and biostatistics is highly competitive and at the same time, the grant application and review process at such agencies at the National Institutes of Health (NIH) has undergone substantial revisions.

Since the pioneering work of Black, Scholes, and Merton in the field of financial mathematics, research has led to the rapid development of a substantial body of knowledge, with plenty of applications to the common functioning of the world's financial institutions.

The use of statistics in biology, medicine, engineering, and the sciences has grown dramatically in recent years and having a basic background in the subject has become a near necessity for students and researchers in these fields.

Elementary Probability with Applications, Second Edition shows students how probability has practical uses in many different fields, such as business, politics, and sports.

Clinical trials have two purposes -- to treat the patients in the trial, and to obtain information which increases our understanding of the disease and especially how patients respond to treatment.

This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) - also known as Biometric Anti-Spoofing.

All students and researchers in environmental and biological sciences require statistical methods at some stage of their work.

This is a handbook of statistical data covering production and distribution, foreign trade, foreign indebtedness, domestic finance, energy and standards of living in Eastern Europe (including Yugoslavia) and the Soviet Union.

This book offers a leisurely introduction to the concepts and methods of machine learning.

This book constitutes the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2022, held in conjunction with the 25th MICCAI conference.

This title was originally published in 1972.

Mortality improvements, uncertainty in future mortality trends and the relevant impact on life annuities and pension plans constitute important topics in the field of actuarial mathematics and life insurance techniques.

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data.

First published in 1986, this unique reference to clinical experimentation remains just as relevant today.

It is unlikely that any frontier of economics/econometrics is being pushed faster, further than that of computational techniques.

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level.

Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view.

This book gathers selected theoretical and applied science papers presented at the 2016 Regional Conference of Sciences, Technology and Social Sciences (RCSTSS 2016), organized biannually by the Universiti Teknologi MARA Pahang, Malaysia.

The pioneering study by Bowman [1980) reawakened interest in risk and return relations in the strategic management literature.

In the fall of 1999, I was asked to teach a course on computer intrusion detection for the Department of Mathematical Sciences of The Johns Hopkins University.

As in the case of the two previous volumes published in 1986 and 1997, the purpose of this monograph is to focus the interplay between real (functional) analysis and stochastic analysis show their mutual benefits and advance the subjects.

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.

This book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration.

This book focuses on important decision points and evidence needed for making decisions at these points during the development of a new drug.

This book introduces an integrated conceptual framework of the China Seismic Experimental Site (CSES), describes its scientific challenges and research priorities, and reports preliminary results coming out of observational infrastructure in seismology, tectonophysics, geodesy, geophysics and geochemistry.

Mathematical Puzzle Tales from Mount Olympus uses fascinating tales from Greek Mythology as the background for introducing mathematics puzzles to the general public.

Foundations of Risk Analysis presents the issues core to risk analysis understanding what risk means, expressing risk, building risk models, addressing uncertainty, and applying probability models to real problems.

Large deviation estimates have proved to be the crucial tool required to handle many questions in statistics, engineering, statistial mechanics, and applied probability.

Discusses methods available for longitudinal data analysis in non-technical language, allowing readers to apply techniques to their work.

This book is an introduction to methods for solving partial differential equations (PDEs).

An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts.

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession.

The present book deals with a streamlined presentation of Levy processes and their densities.