Prediction and Causality in Econometrics and Related Topics, Ngoc Thach
Автор: Pearl, Judea Название: Causality ISBN: 052189560X ISBN-13(EAN): 9780521895606 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, and cognitive science.
Автор: Huntington-Klein Nick Название: The Effect: An Introduction to Research Design and Causality ISBN: 1032127457 ISBN-13(EAN): 9781032127453 Издательство: Taylor&Francis Рейтинг: Цена: 86760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject.
Автор: Azzalini Adelchi Название: The Skew-Normal and Related Families ISBN: 1108461131 ISBN-13(EAN): 9781108461139 Издательство: Cambridge Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Blending theory and practice, this will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability and statistical inference, it is accessible to the wide range of researchers who use statistical modelling techniques. The author`s complementary R package helps readers put theory into practice.
Автор: Phoebus J. Dhrymes Название: Topics in Advanced Econometrics ISBN: 0387971785 ISBN-13(EAN): 9780387971780 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Unfortunately, relatively few students enter a graduate economics de- partment ready to tackle probability theory in measure theoretic terms.
Автор: Ngoc Thach Nguyen, Ha Doan Thanh, Trung Nguyen Duc Название: Prediction and Causality in Econometrics and Related Topics ISBN: 3030770931 ISBN-13(EAN): 9783030770938 Издательство: Springer Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides the ultimate goal of economic studies to predict how the economy develops-and what will happen if we implement different policies.
Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.
Автор: Kleinberg, Samantha (stevens Institute Of Technology, New Jersey) Название: Causality, probability, and time ISBN: 1107686016 ISBN-13(EAN): 9781107686014 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a new approach to causal inference (finding relationships from a set of data) and explanation (assessing why a particular event occurred), addressing both the timing and complexity of relationships. The practical use of the method developed is illustrated through theoretical and experimental case studies, demonstrating its feasibility and success.
Автор: Ngoc Thach Название: Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics ISBN: 3030986888 ISBN-13(EAN): 9783030986889 Издательство: Springer Рейтинг: Цена: 214280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics).
Автор: Hadri K., Mikhail W. Название: Econometric Methods And Their Applications In Finance, Macro And Related Fields ISBN: 9814513466 ISBN-13(EAN): 9789814513463 Издательство: World Scientific Publishing Рейтинг: Цена: 205920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The volume aims at providing an outlet for some of the best papers presented at the 15th Annual Conference of the African Econometric Society, which is one of the “chapters” of the International Econometric Society. Many of these papers represent the state of the art in financial econometrics and applied econometric modeling, and some also provide useful simulations that shed light on the models' ability to generate meaningful scenarios for forecasting and policy analysis.
Название: Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling ISBN: 1789732425 ISBN-13(EAN): 9781789732429 Издательство: Emerald Рейтинг: Цена: 117890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In honor of Dale J. Poirier, experienced editors Ivan Jeliazkov and Justin Tobias bring together a cast of expert contributors to explore the most up-to-date research on econometrics, including subjects such as panel data models, posterior simulation, and Bayesian models.
Название: Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling ISBN: 1838674209 ISBN-13(EAN): 9781838674205 Издательство: Emerald Рейтинг: Цена: 112470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Volume 40B of Advances in Econometrics examines innovations in stochastic frontier analysis, nonparametric and semiparametric modeling and estimation, A/B experiments, big-data analysis, and quantile regression.
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