Results 261 to 270 of about 309,663 (301)

Partial likelihood for online order selection

Signal Processing, 2005
Partial likelihood (PL) is a flexible framework for adaptive nonlinear signal processing allowing the use of a wide class of nonlinear structures--probability models--as filters. PL maximization has been shown to be equivalent to relative entropy minimization for the general case of time-dependent observations and its large sample properties have been ...
Tülay Adali, Hongmei Ni
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Partial likelihood for real-time signal processing

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
We introduce a unified statistical framework for real-time signal processing with neural networks by using a recent extension of maximum likelihood (ML) estimation, partial likelihood (PL) estimation theory, which allows for (i) dependent observations, and (ii) processing of data using only the information that is available at the time of processing ...
Tülay Adali, M. Kemal Sönmez, Xiao Liu 0024   +2 more
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Optimal experimental designs for partial likelihood information

Computational Statistics & Data Analysis, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jesús López-Fidalgo, María Jesús Rivas-López   +1 more
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Likelihood and Partial Likelihood

1988
During the fifty years (1912–1962) that R.A. Fisher dominated the field of statistical research, he came out with many innovative ideas like likelihood, sufficiency, ancillarity, asymptotic efficiency, information and intrinsic accuracy, pivotal quantities and fiducial distribution, conditionality argument and recovery of ancillary information ...
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A weighted partial likelihood approach for zero‐truncated models

Biometrical Journal, 2019
AbstractZero‐truncated data arises in various disciplines where counts are observed but the zero count category cannot be observed during sampling. Maximum likelihood estimation can be used to model these data; however, due to its nonstandard form it cannot be easily implemented using well‐known software packages, and additional programming is often ...
Wen‐Han Hwang, Dean Heinze, Jakub Stoklosa   +2 more
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Examples Questioning the Use of Partial Likelihood

The Statistician, 1987
On donne des exemples qui jettent un doute sur la validite generale de l'argument de vraisemblance partielle et suggerent que des conditions plus rigoureuses soient mises en place avant une utilisation generale de la ...
C. A. de B. Pereira, D. V. Lindley
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Maximum likelihood partially adaptive estimation†

International Journal of Systems Science, 1972
This paper extends previous work involving adaptive estimation to the case where only some components of the unknown parameters are adapted to. The method of invariant embedding is used to obtain sequential adaptive algorithms for maximum likelihood estimation.
ANDREW P. SAGE, CHARLES D. WAKEFIELD
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Inefficiency of inferences with the partial likelihood

Communications in Statistics - Theory and Methods, 1986
In two-sample semiparametric survival models other than the Cox proportional-hazards regression model, it is shown that partial-likelihood inference of structural parameters in the presence of fully nonpararnetric nuisance-hazards typically has relative efficiency zero compared with fuii-Iikelihood infer -ence.
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Hypothesis assignment and partial likelihood averaging for cooperative estimation

2019 IEEE 58th Conference on Decision and Control (CDC), 2019
We propose a cooperative, decentralized inference algorithm allowing sensor networks to learn a joint parameter best explaining their combined observations. This joint parameter is represented via a probability density over a discrete set of hypotheses.
Parth Paritosh, Nikolay Atanasov 0001, Sonia Martínez   +2 more
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The approximation of partial likelihood with emphasis on case-control studies

Biometrika, 1980
For many case-control applications, previously suggested approximations to Cox's (1972, 1975) partial likelihood in prospective applications are shown to be seriously inadequate. Alternative approximations based on unconditional maximum likelihood estimation and Taylor series expansion are developed and shown to yield an improvement over the previous ...
Farewell, V. T., Prentice, R. L.
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