This compendium collects advances and reflections on the teaching of econometrics from internationally well-known econometricians, including a number of accomplished textbook writers.
As the boundaries between biological intelligence and artificial systems continue to dissolve, a new frontier is emerging—where thoughts can control machines, and machines can decode mental states.
This book is based on an Oberwolfach Seminar, and it intends to give an introduction and an overview to several directions of the recent research on stochastic geophysical fluid dynamics and to discuss different geophysical stochastic partial differential equations.
This book is a collection of selected papers presented at the 28th FAI International Conference on Digitalisation and Artificial Intelligence Revolution in Business Management (28th FAI-DAIRBM 2024), held at UNEC Business School, Azerbaijan State University of Economics, Baku, Azerbaijan, from 18–20 April 2024.
This book is a collection of selected papers presented at the 28th FAI International Conference on Digitalisation and Artificial Intelligence Revolution in Business Management (28th FAI-DAIRBM 2024), held at UNEC Business School, Azerbaijan State University of Economics, Baku, Azerbaijan, from 18–20 April 2024.
Many notions and results presented in the previous editions of this volume have since become quite popular in applications, and many of them have been "e;rediscovered"e; in applied papers.
The systematic study of existence, uniqueness, and properties of solutions to stochastic differential equations in infinite dimensions arising from practical problems characterizes this volume that is intended for graduate students and for pure and applied mathematicians, physicists, engineers, professionals working with mathematical models of finance.
Non-life insurance pricing is the art of setting the price of an insurance policy, taking into consideration varoius properties of the insured object and the policy holder.
Large deviation estimates have proved to be the crucial tool required to handle many questions in statistics, engineering, statistial mechanics, and applied probability.
Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time.
One of the central problems synergetics is concerned with consists in the study of macroscopic qualitative changes of systems belonging to various disciplines such as physics, chemistry, or electrical engineering.
A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory.
Numerical mathematics proposes, develops, analyzes and applies methods from scientific computing to several fields including analysis, linear algebra, geometry, approximation theory, functional equations, optimization and differential equations.
Studierende in den Fachern Wirtschaftswissenschaften, Technik, Naturwissenschaften und Informatik benotigen zum Studienbeginn bestimmte Grundkenntnisse in der Mathematik, die im vorliegenden Buch sehr ausfuhrlich dargestellt werden.
This book constitutes the proceedings of the 27th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2025, held in Kathmandu, Nepal, during October 9–11, 2025.
Now in a thoroughly revised and expanded second edition, this textbook offers a comprehensive and self-contained introduction to numerical methods in probability, with particular emphasis on stochastic optimization and its applications in financial mathematics.
This volume features a collection of papers and lecture notes from the “XIV Symposium on Probability and Stochastic Processes,” held at the Center for Research in Mathematics (CIMAT), Mexico, in November 2023.
This volume features a collection of papers and lecture notes from the “XIV Symposium on Probability and Stochastic Processes,” held at the Center for Research in Mathematics (CIMAT), Mexico, in November 2023.
This volume constitutes the proceedings of Third Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2024, held in Addis Ababa, Ethiopia, during October 8–9, 2024.
This book contains chapters of the proceedings presented at the UiTM International Conference of Mathematical Sciences 2024 (UICMS 2024), organized by Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia, from October 12–13, 2024.
This volume constitutes the proceedings of Third Pan-African Conference on Artificial Intelligence, PanAfriCon AI 2024, held in Addis Ababa, Ethiopia, during October 8–9, 2024.
This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.
This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.
The primary hydrologic parameters in assessing water resources are rainfall and runoff which also play a major role in controlling groundwater recharge.
The primary hydrologic parameters in assessing water resources are rainfall and runoff which also play a major role in controlling groundwater recharge.
Marcus Hellwig zeigt, dass die kurzlich entwickelte Schiefe Verteilung, im Weiteren Equibalancedistribution (Eqb) genannt, fur die Uberprufung des Prozessverhaltens von Funkubertragungen verwendet werden kann.
This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion.
This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information.
This volume contains the proceedings of the 2nd International Conference "e;MECHANICAL ENGINEERING SOLUTIONS: Design, Simulation, Testing, Manufacturing"e; (MES-2025), held on September 17–19, 2025 in Yerevan, Armenia, under the patronage of IFToMM.
This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion.
This book presents the development of a multimodal physiological signal acquisition system and cooperative control strategies for applications in upper-limb robotic rehabilitation.
