Results 71 to 80 of about 4,806,885 (346)
Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models
Econometrics, 2022 In this paper, we propose a new method for estimating and forecasting asymmetric stochastic volatility models. The proposal is based on dynamic linear models with Markov switching written as state space models.
Omar Abbara, Mauricio Zevallos
doaj +1 more source
A modern maximum-likelihood theory for high-dimensional logistic regression [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2018 Significance Logistic regression is a popular model in statistics and machine learning to fit binary outcomes and assess the statistical significance of explanatory variables.
P. Sur, E. Candès
semanticscholar +1 more source
Maximum Likelihood with Auxiliary Information [PDF]
, 2006 Analysis of survey data does not happen in a vacuum. We typically know more about the target population than just the data observed in the survey. In some cases this extra information can be incorporated via calibration of survey weights.
Wang, Suojin, Chambers, Ray
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley +1 more source
MLgsc: A Maximum-Likelihood General Sequence Classifier.
PLoS ONE, 2015 We present software package for classifying protein or nucleotide sequences to user-specified sets of reference sequences. The software trains a model using a multiple sequence alignment and a phylogenetic tree, both supplied by the user.
Thomas Junier +3 more
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Simulated Maximum Likelihood for Double-Bounded Referendum Models
Journal of Agricultural and Resource Economics, 2001 Although joint estimation of referendum-type contingent value (CV) survey responses using maximum-likelihood models is preferred to single-equation estimation, it has been largely disregarded because estimation involves evaluating multivariate normal ...
Mary C. Riddel
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Maximum Penalized Likelihood Estimation for the Reliability Function [PDF]
The Egyptian Statistical Journal, 2016 This paper considers the problem of estimating probability density function based on maximum Maximum Penalized Likelihood Estimation , we will review some of the previous studies on Maximum Penalized Likelihood Estimation ( MPLE) approaches. Finally,
A. Mousa, M. khalil, N. Said, A. Fathi
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior +11 more
wiley +1 more source
Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean +7 more
wiley +1 more source
Modified Maximum Likelihood Estimations of the Epsilon-Skew-Normal Family
Journal of Statistical Theory and Applications (JSTA), 2020 In this work, maximum likelihood (ML) estimations of the epsilon-skew-normal (ESN) family are obtained using an EM-algorithm to modify the ordinary estimation already used and solve some of its problems within issues.
Parichehr Jamshidi +2 more
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