Juega con tu mente (Sudoku Killer, #33) (Sudoku Samurai, #96)
by Juega Con Tu Mente
July 2018 - June 2019 Planner (Academic Planner 2018-2019 8.5 X 11, #5)
by Jessie Beaudry
For Masters and PhD students in EconomicsIn this textbook, the duality between the equilibrium concept used in dynamic economic theory and the stationarity of economic variables is explained and used in the presentation of single equations models and system of equations such as VARs, recursive models and simultaneous equations models.The book also contains chapters on: exogeneity, in the context of estimation, policy analysis and forecasting; automatic (computer based) variable selection, and ho...
Multivariate Time Series Analysis (Wiley Series in Probability and Statistics)
by Ruey S. Tsay
An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research. Differi...
Differential Equation Based Framework for Deep Reinforcement Learning.
by Simon Gottschalk
In this thesis, we contribute to new directions within Reinforcement Learning, which are important for many practical applications such as the control of biomechanical models. We deepen the mathematical foundations of Reinforcement Learning by deriving theoretical results inspired by classical optimal control theory. In our derivations, Deep Reinforcement Learning serves as our starting point. Based on its working principle, we derive a new type of Reinforcement Learning framework by replacing t...
Daily Ideas Journal - Great Tool to Set Intentions and Live with Gratitude All Day
Econometric Modeling with Matlab. Box Jenkins Methodology
by B Noriega
Time Series Analysis with Matlab. Arima/Varmax/Garch/Gjr Models. Functions and Examples
by Karter J
Econometric Modeling with Matlab. Time Series Regression Models
by B Noriega
An Introduction to Analysis of Financial Data with R (Wiley Series in Probability and Statistics)
by Ruey S. Tsay
A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The author supplies a hands-on intr...
Econometric Modeling with Matlab. Multivariate Time Series Models
by B Noriega
An Introduction to Analysis (Wiley Probability and Statistics)
by Ruey S. Tsay
Practical Time Series Analysis for Data Science (Chapman & Hall/CRC Texts in Statistical Science) ()
by WAYNE A WOODWARD, Bivin Philip Sadler, and Stephen Robertson
Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Practical Time Series Analysis for Data Science discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other text...
Recent Advances in Time Series Forecasting (Mathematical Engineering, Manufacturing, and Management Sciences)
Future predictions are always a topic of interest. Precise estimates are crucial in many activities as forecasting errors can lead to big financial loss. The sequential analysis of data and information gathered from past to present is call time series analysis. This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis. It focuses on the recent techniques used, discusses a combination of methodology a...
Multivariate Time Series Analysis and Applications (Wiley Series in Probability and Statistics)
by William W. S. Wei
An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis...
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype? This insightful book, based on Columbia University's Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms...
Time Series Analysis with MATLAB. Arima and Arimax Models
by Maria Perez