Results 131 to 140 of about 1,853,165 (304)

Fitting Single and Mixture of Generalized Lambda Distributions to Data via Discretized and Maximum Likelihood Methods: GLDEX in R

open access: yes
This paper describes the use of GLDEX in R to fit distributions to empirical data using the discretized and maximum likelihood methods. The GLDEX package also provides diagnostic tests to examine the quality of fit through the resample Kolmogorov ...
Steve Su
core  

A Two-Stage Realized Volatility Approach to the Estimation for Diffusion Processes from Discrete Observations [PDF]

open access: yes
This paper motivates and introduces a two-stage method for estimating diffusion processes based on discretely sampled observations. In the first stage we make use of the feasible central limit theory for realized volatility, as recently developed in ...
Jun Yu, Peter C.B. Phillips
core  

YIPFα1A expression is regulated by multilayered molecular mechanisms

open access: yesFEBS Open Bio, EarlyView.
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji   +2 more
wiley   +1 more source

Indirect likelihood inference [PDF]

open access: yes
Given a sample from a fully specified parametric model, let Zn be a given finite-dimensional statistic - for example, an initial estimator or a set of sample moments. We propose to (re-)estimate the parameters of the model by maximizing the likelihood of
Michael Creel, Dennis Kristensen
core  

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

open access: yesFEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young   +7 more
wiley   +1 more source

The EM Algorithm [PDF]

open access: yes
The Expectation-Maximization (EM) algorithm is a broadly applicable approach to the iterative computation of maximum likelihood (ML) estimates, useful in a variety of incomplete-data problems.
Ng, See Ket   +2 more
core  

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