Results 41 to 50 of about 206,039 (334)

METODE SMALL AREA ESTIMATION HIERARCHICAL BAYES DALAM PENDUGAAN PERSENTASE KASUS PENYAKIT KUSTA BASAH DI PROVINSI JAWA TIMUR TAHUN 2018

Jurnal Matematika UNAND, 2020
Kusta adalah penyakit infeksi kronis yang disebabkan oleh bakteri yang disebut Mycrobacterium leprae yang menyerang saraf tepi, kulit dan jaringan tubuh lainnya. Kusta memiliki dua tipe yaitu kusta kering dan kusta basah.
NADIA HUSNA, HAZMIRA YOZZA, DODI DEVIANTO   +2 more
doaj   +1 more source

Parameter Estimation of Lindley Distribution Based on Progressive Type-II Censored Competing Risks Data with Binomial Removals

Mathematics, 2019
The competing risk model based on Lindley distribution is discussed under the progressive type-II censored sample data with binomial removals. The maximum likelihood estimation of the unknown parameters of the distribution is established.
Jiaxin Nie, Wenhao Gui
doaj   +1 more source

Universal Bayes Estimators

The Annals of Statistics, 1978
Let $x_1, \cdots, x_n$ be i.i.d. random variables with a distribution depending on the real parameter. Under what conditions is a generalized Bayes estimator independent of the choice of the even loss function? The known answer to this question is that this independence holds if the posterior density is symmetric and unimodal.
openaire   +3 more sources

Bayes and empirical bayes estimation of parameter K in negative binomial distribution [PDF]

Journal of Hyperstructures, 2013
In this paper, the problem of estimating the number of successes, k, in a negative binomial distribution for both known and unknown probability p of success are examined by a Bayesian point of view. Also, we introduce two estimations for the parameter of
Masoud Ganji, Nasrin Eghbali, Masoud Azimian   +2 more
doaj   +1 more source

Standard Error of Empirical Bayes Estimate in NONMEM® VI. [PDF]

, 2012
The pharmacokinetics/pharmacodynamics analysis software NONMEM® output provides model parameter estimates and associated standard errors. However, the standard error of empirical Bayes estimates of inter-subject variability is not available. A simple and
Bae, Kyun-Seop, Houk, Brett E, Kang, Dongwoo, Karlsson, Mats O, Savic, Radojka M   +4 more
core   +2 more sources

A New Class of Bayes Minimax Estimators of the Mean Matrix of a Matrix Variate Normal Distribution

Mathematics
Bayes minimax estimation is important because it provides a robust approach to statistical estimation that considers the worst-case scenario while incorporating prior knowledge.
Shokofeh Zinodiny, Saralees Nadarajah
doaj   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Bayes Shrinkage Estimation of the Parameter of Rayleigh Distribution for Progressive Type-II Censored Data

Austrian Journal of Statistics, 2015
This paper derives Bayes shrinkage estimator of Rayleigh parameter and its associated risk based on conjugate prior under the assumption of general entropy loss function for progressive type-II censored data. Risk function of maximum likelihood estimate,
Sanku Dey, Tanujit Dey, Sudhansu S. Maiti   +2 more
doaj   +1 more source

Bayesian estimation of one-parameter qubit gates

, 2008
We address estimation of one-parameter unitary gates for qubit systems and seek for optimal probes and measurements. Single- and two-qubit probes are analyzed in details focusing on precision and stability of the estimation procedure.
Barndorff-Nielsen O E, Berihu Teklu, Bernardo J M, Braunstein S L, Braunstein S L, Cam L Le, Chuang I L, Cover T M, Cramer H, D'Ariano G M, D'Ariano G M, Hayashi M, Helstrom C W, Holevo A S, Lehmann E L, Matteo G A Paris, Paris M G A, Poor H V, Schützenberger M P, Stefano Olivares, Trees H L van, Van Trees H L   +21 more
core   +1 more source

Adaptive posterior contraction rates for the horseshoe [PDF]

, 2017
We investigate the frequentist properties of Bayesian procedures for estimation based on the horseshoe prior in the sparse multivariate normal means model.
Szabó, Botond, van der Pas, Stéphanie, van der Vaart, Aad   +2 more
core   +3 more sources