Results 61 to 70 of about 634,036 (142)
Evaluation of elicitation methods to quantify Bayes linear models [PDF]
, 2010 The Bayes linear methodology allows decision makers to express their subjective beliefs and adjust these beliefs as observations are made. It is similar in spirit to probabilistic Bayesian approaches, but differs as it uses expectation as its primitive ...
T Bedford +5 more
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Bayes linear covariance matrix adjustment [PDF]
, 1995 In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
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An Improved Recursive and Non-recursive Comb filter for DSP applications
, 2018 The recursive and non-recursive comb filters are commonly used as decimators for the sigma-delta modulators. This paper presents the analysis and design of low power and high-speed comb filters.
Rozita Teymourzadeh (5178206)
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Dempster's combination is a special case of Bayes' rule
, 2011 Bayes' rule and Dempster's combination are typically presumed to be radically different procedures for fusing evidence. This paper demonstrates that measurement-update using Dempster's combination is a special case of measurement-update using Bayes' rule.
Ronald Mahler (23447857)
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Recursive Implementations of the Consider Filter [PDF]
, 2012 One method to account for parameters errors in the Kalman filter is to consider their effect in the so-called Schmidt-Kalman filter. This work addresses issues that arise when implementing a consider Kalman filter as a real-time, recursive algorithm.
Zanetti, Renato, DSouza, Chris
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AN EMPIRICAL BAYES APPROACH TO MODELING DROUGHT [PDF]
This paper illustrates an alternative approach to estimating the occurrence of drought. The empirical Bayes methodology was developed because of deficiencies in time-series and regression analysis with respect to prediction of drought. This manuscript is
Chamberlain, P.J.
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System identification using adaptive filter with recursive least squares algorithm
, 2019 “System identification using the adaptive filter is commonly utilized in areas such as noise cancellation, telephone communication, control, radar system, etc… In this research, we are going to implement the Recursive Least Squares (RLS) algorithm with ...
Mohammed, Mahboob Khan
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"Improved Empirical Bayes Ridge Regression Estimators under Multicollinearity" [PDF]
In this paper we consider the problem of estimating the regression parameters in a multiple linear regression model when the multicollinearity is present.Under the assumption of normality, we present three empirical Bayes estimators.
Tatsuya Kubokawa, M. S. Srivastava
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Event-triggered distributed Bayes filter
, 2019 The aim of this paper is to devise a strategy that is able to reduce communication bandwidth and, consequently, energy consumption in the context of distributed state estimation over a peer-to-peer sensor network. Specifically, a distributed Bayes filter
Lin Gao +7 more
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Recursive Competitive Equilibrium [PDF]
In this article we define a Recursive Competitive Equilibrium, provide an example and review the related literature. The article is an entry prepared for The New Palgrave: A Dictionary of Economics, 2nd Edition (Palgrave Macmillan: New York).
Rajnish Mehra
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