"Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs (data). Interest in these methods has exploded in recent years, with numerous applications emerging in fields such as navigation…
"Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs (data). Interest in these methods has exploded in recent years, with numerous applications emerging in fields such as navigation…
« The field of statistics focuses on drawing conclusions from data by modeling and analyzing the data using probabilistic models. The authors of this introductory text describe three key concepts from statistics--estimators, tests, and confidence regions--which they demonstrate …
"Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief, called the Certainty-Loss Framework. Subjective Bayesianism is epistemologists' standard theory of how individuals should change their degrees of belief over time. But despite the th…
This title describes formal models of reasoning that are aimed at capturing the way that economic agents and decision makers in general think about their environment and make predictions based on their past experience. The focus is on analogies (case-based reasoning) and general…
This classic book retains its outstanding ongoing features and continues to provide readers with excellent background material necessary for successful understanding of mathematical statistics.
