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Modeling and Stochastic Learning for Forecasting in High Dimensions

on forecasting in industry and in time series, on nonparametric and functional methods and on on-line machine learning for forecasting, to;

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Machine Learning for Time Series Forecasting with Python

Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and;

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Time Series Algorithms Recipes

. You'll also gain insight into classic machine learning-based regression models like randomForest, Xgboost, and LightGBM for forecasting problems;

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Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting

popular approaches are selected, with a chapter for each - stochastic methods, parameter estimation techniques, scaling and fractal methods;

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A Primer on Machine Learning Applications in Civil Engineering

engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water;

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Road Traffic Modeling and Management

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing;

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Encyclopedia of Mathematics and its Applications

to finance are also investigated. Ideal for researchers and graduate students in stochastic processes and partial differential equations;

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Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The;

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Bayesian Analysis of Stochastic Process Models

stochastic processes, providing a unified treatment. * Provides a thorough introduction for research students. * Computational tools to deal with;

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Stochastic Modeling for Medical Image Analysis

Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided;

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Universal Time-Series Forecasting with Mixture Predictors

applied areas as machine learning, information theory and data compression.;

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Advanced Computing in Industrial Mathematics

focus on: mathematical physics, numerical analysis, high performance computing, optimization and control, mathematical biology, stochastic;

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Business Forecasting

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field;

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Chaos in Hydrology

directions for the future. This book bridges the divide between the deterministic and the stochastic schools in hydrology, and is well suited as a;

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Time Series In High Dimensions

Factor models have become the most successful tool in the analysis and forecasting of high-dimensional time series. This monograph provides;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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Modeling and Management of Stochastic Systems

utility to readers with knowledge about stochastic calculus and basic probability theory. It will specifically serve as a useful resource for PhD;

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Stochastic Modeling in Physical and Biological Sciences

of Markov Chains. This book elaborates continuous time stochastic processes for modeling purpose explaining in detail with examples and includes an;

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Stochastic Modeling of Microstructures

This book is for a general scientific and engineering audience as a guide to current ideas, methods, and models for stochastic modeling;

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Handbook of High-Frequency Trading and Modeling in Finance

quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump;

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Modeling and Forecasting Electricity Loads and Prices

, Center for Stochastic and Chaotic Processes in Sciences and Technology, Case Western Reserve University, Cleveland;

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Modeling in Mathematics

Modeling in Mathematics deals with the concept of modeling in the field of mathematics. It includes a statistical and spectral model for;

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Modeling and Forecasting Primary Commodity Prices

Recent economic growth in China and other Asian countries has led to increased commodity demand which has caused price rises and;

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Modeling and Forecasting Primary Commodity Prices

Recent economic growth in China and other Asian countries has led to increased commodity demand which has caused price rises and;

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Stochastic Volatility Modeling

practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility. In the course;

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Performance Modeling and Engineering

calculus, stochastic comparison, optimization, control theory, machine learning and information theory. The app- cation areas extended from;

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Statistical Learning for Big Dependent Data

Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting;

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