Найти книгу: "Bayesian Signal Processing"

Presents the Bayesian approach to statistical signal processing for a variety of useful model sets This book aims to give readers a unified Bayesian treatment starting from the basics (Baye’s rule) to the more advanced (Monte Carlo sampling), evolving to the next-generation model-based techniques (sequential Monte Carlo sampling). This next edition incorporates a new chapter on “Sequential Bayesian Detection,” a new section on “Ensemble Kalman Filters” as well as an expansion of Case Studies that detail Bayesian solutions for a variety of applications. These studies illustrate Bayesian approaches to real-world problems incorporating detailed particle filter designs, adaptive particle filters and sequential Bayesian detectors. In addition to these major developments a variety of sections are expanded to “fill-in-the gaps” of the first edition. Here metrics for particle filter (PF) designs with emphasis on classical “sanity testing” lead to ensemble techniques as a basic requirement for performance analysis. The expansion of information theory metrics and their application to PF designs is fully developed and applied. These expansions of the book have been updated to provide a more cohesive discussion of Bayesian processing with examples and applications enabling the comprehension of alternative approaches to solving estimation/detection problems. The second edition of Bayesian Signal Processing features: “Classical” Kalman filtering for linear, linearized, and nonlinear systems; “modern” unscented and ensemble Kalman filters: and the “next-generation” Bayesian particle filters Sequential Bayesian detection techniques incorporating model-based schemes for a variety of real-world problems Practical Bayesian processor designs including comprehensive methods of performance analysis ranging from simple sanity testing and ensemble techniques to sophisticated information metrics New case studies on adaptive particle filtering and sequential Bayesian detection are covered detailing more Bayesian approaches to applied problem solving MATLAB® notes at the end of each chapter help readers solve complex problems using readily available software commands and point out other software packages available Problem sets included to test readers’ knowledge and help them put their new skills into practice Bayesian Signal Processing, Second Edition is written for all students, scientists, and engineers who investigate and apply signal processing to their everyday problems.

Святочный рассказ с привидениями «A Christmas Carol» («Гимн Рождеству») – одно из немногих английских произведений о Рождестве, гимн в прозе, наполненный светлым чувством праздника. Англичане верят в чудо Рождества. Пусть хоть на один день, но счастье может посетить дом, в котором раньше гостила безнадега! Даже старый черствый скряга Скрудж под Рождество становится добряком и усыновляет сиротку Тима. Данная аудиокнига на русском и английском языках. A Christmas Carol The Signalman Гимн Рождеству Связист

A risk measurement and management framework that takes model risk seriously Most financial risk models assume the future will look like the past, but effective risk management depends on identifying fundamental changes in the marketplace as they occur. Bayesian Risk Management details a more flexible approach to risk management, and provides tools to measure financial risk in a dynamic market environment. This book opens discussion about uncertainty in model parameters, model specifications, and model-driven forecasts in a way that standard statistical risk measurement does not. And unlike current machine learning-based methods, the framework presented here allows you to measure risk in a fully-Bayesian setting without losing the structure afforded by parametric risk and asset-pricing models. Recognize the assumptions embodied in classical statistics Quantify model risk along multiple dimensions without backtesting Model time series without assuming stationarity Estimate state-space time series models online with simulation methods Uncover uncertainty in workhorse risk and asset-pricing models Embed Bayesian thinking about risk within a complex organization Ignoring uncertainty in risk modeling creates an illusion of mastery and fosters erroneous decision-making. Firms who ignore the many dimensions of model risk measure too little risk, and end up taking on too much. Bayesian Risk Management provides a roadmap to better risk management through more circumspect measurement, with comprehensive treatment of model uncertainty.

A PROVEN APPROACH FOR CREATING and IMPLEMENTING EFFECTIVE GOVERNANCE for DATA and ANALYTICS Financial Institution Advantage and the Optimization of Information Processing offers a key resource for understanding and implementing effective data governance practices and data modeling within financial organizations. Sean Keenan—a noted expert on the topic—outlines the strategic core competencies, includes best practices, and suggests a set of mechanisms for self-evaluation. He shows what it takes for an institution to evaluate its information processing capability and how to take the practical steps toward improving it. Keenan outlines the strategies and tools needed for financial institutions to take charge and make the much-needed decisions to ensure that their firm's information processing assets are effectively designed, deployed, and utilized to meet the strict regulatory guidelines. This important resource is filled with practical observations about how information assets can be actively and effectively managed to create competitive advantage and improved financial results. Financial Institution Advantage and the Optimization of Information Processing also includes a survey of case studies that highlight both the positive and less positive results that have stemmed from institutions either recognizing or failing to recognize the strategic importance of information processing capabilities.

The automatic filter against bad, irrelevant, outdated investing information Cocktail Investing takes a look at investing in a different, catalyst-driven light to form a more cohesive, globally relevant investing lens. With a focus on the intersection of economics, demographics, psychographics, technology, policy, and more, this book helps readers build a more profitable portfolio based on what they see everyday rather than following the herd on Wall Street. Industry experts expose the actionable, observable, and recognizable trends that surround us daily, and show readers how to recognize these trends for themselves and translate them into wiser investing decisions without getting sidetracked by media clutter and bad advice. Given today's ever-increasing deluge of information, the average investor faces the challenge of sorting through the babble to decipher what it means, and learn how, where, and why they should be investing given the current economic environment and the uncertain future. This book provides an 'off' switch, helping readers apply an automatic mental filter to the incoming cacophony, to filter out only what they can use for smarter money moves. Read the economy like a professional investor Filter out useless and misleading data Recognize 'go' signals, and identify the beneficiaries Identify cyclical and structural changes that have reshaped business models The economic climate has changed drastically, and traditional practices are no longer getting results. Modern investing requires a whole new approach, and Cocktail Investing is the clear, insightful guide for putting it into action.

A resource of fun games for parents or teachers to help young children learn social and motor skills Barbara Sher, an expert occupational therapist and teacher, has written a handy resource filled with games to play with young children who have Autistic Spectrum Disorder (ASD) or other sensory processing disorders (SPD). The games are designed to help children feel comfortable in social situations and teach other basic lessons including beginning and end, spatial relationships, hand-eye coordination, and more. Games can also be used in regular classrooms to encourage inclusion. A collection of fun, simple games that can improve the lives of children with ASD or other SPDs. Games can be played by parents or teachers and with individual children or groups. Games are designed to make children more comfortable in social situations and to develop motor and language skills Also included are a variety of interactive games to play in water, whether in a backyard kiddie pool, community swimming pool, or lake All the games are easy-to-do, utilizing common, inexpensive materials, and include several variations and modifications