Results 41 to 50 of about 1,540,370 (339)

Variable selection using MM algorithms [PDF]

open access: yes, 2005
Variable selection is fundamental to high-dimensional statistical modeling. Many variable selection techniques may be implemented by maximum penalized likelihood using various penalty functions.
Hunter, David R., Li, Runze
core   +3 more sources

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga   +56 more
wiley   +1 more source

Restricted Empirical Likelihood Estimation for Time Series Autoregressive Models

open access: yesJournal of Statistical Theory and Applications (JSTA), 2021
In this paper, we first illustrate the restricted empirical likelihood function, as an alternative to the usual empirical likelihood. Then, we use this quasi-empirical likelihood function as a basis for Bayesian analysis of AR(r) time series models.
Mahdieh Bayati   +2 more
doaj   +1 more source

Maximum Likelihood for Matrices with Rank Constraints [PDF]

open access: yes, 2013
Maximum likelihood estimation is a fundamental optimization problem in statistics. We study this problem on manifolds of matrices with bounded rank. These represent mixtures of distributions of two independent discrete random variables.
Hauenstein, Jonathan   +2 more
core  

An investigation into the Multiple Optimised Parameter Estimation and Data compression algorithm

open access: yes, 2011
We investigate the use of the Multiple Optimised Parameter Estimation and Data compression algorithm (MOPED) for data compression and faster evaluation of likelihood functions.
Anthony Lasenby   +6 more
core   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li   +6 more
wiley   +1 more source

Low serum vitamin D is associated with an increased likelihood of acquired premature ejaculation

open access: yesInternational Brazilian Journal of Urology
Purpose: To investigate the relationship between 25-hydroxyvitamin D (25 (OH) D) levels and acquired premature ejaculation (PE). Materials and Methods: A total of 97 patients with acquired PE and 64 healthy men as a control group selected from ...
Lütfi Canat   +7 more
doaj   +1 more source

Estimation of EVA Mode Choice Model Parameters with Different Types of Utility Functions

open access: yesPromet (Zagreb), 2011
This paper presents the estimation of nine types of utility function parameters for the application in EVA mode choice model for the city of Ljubljana, Slovenia.
Tomaž Maher   +2 more
doaj   +1 more source

Parameter estimation in softmax decision-making models with linear objective functions

open access: yes, 2015
With an eye towards human-centered automation, we contribute to the development of a systematic means to infer features of human decision-making from behavioral data. Motivated by the common use of softmax selection in models of human decision-making, we
Leonard, Naomi E., Reverdy, Paul
core   +1 more source

SPATIAL CLUSTERING USING THE LIKELIHOOD FUNCTION

open access: yesConference on Applied Statistics in Agriculture, 2007
Clustering has been widely used as a tool to group multivariate observations that have similar characteristics. However, there have been few attempts at formulating a method to group similar multivariate observations while taking into account their spatial location.
Kerby, April   +3 more
openaire   +3 more sources

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