Results 1 to 10 of about 17,702 (167)
Semiparametric maximum likelihood probability density estimation.
PLoS ONE, 2021 A comprehensive methodology for semiparametric probability density estimation is introduced and explored. The probability density is modelled by sequences of mostly regular or steep exponential families generated by flexible sets of basis functions ...
Frank Kwasniok
doaj +2 more sources
Barekeng, 2022 The multilevel regression model is a development of the linear regression model that can be used to analyze data that has a hierarchical structure.
Vera Maya Santi +2 more
doaj +1 more source
Maximum Likelihood and Modified Maximum Likelihood Estimates of Linear Models with Errors Following Auto Regressive Process [PDF]
The Egyptian Statistical Journal, 1989 The estimation of parameters of linear models with errors following first order auto-regressive process has been investigated. The Modified Maximum likelihood estimates, introduced by Patterson and Thompson (1971,1974) have been derived.
Heba El-Laithy
doaj +1 more source
Maximum likelihood representation of MIPAS profiles [PDF]
Atmospheric Measurement Techniques, 2015 In order to avoid problems connected with the content of a priori information in volume mixing ratio vertical profiles measured with the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), a user-friendly representation of the data has ...
T. von Clarmann +2 more
doaj +1 more source
Solving Schrödinger Bridges via Maximum Likelihood
Entropy, 2021 The Schrödinger bridge problem (SBP) finds the most likely stochastic evolution between two probability distributions given a prior stochastic evolution.
Francisco Vargas +3 more
doaj +1 more source
Maximum Likelihood Identification of Dual-rate Hammerstein Systems
Nantong Daxue xuebao. Ziran kexue ban, 2021 Aiming at a kind of dual-rate Hammerstein system, based on the auxiliary model identification idea, using the maximum likelihood principle and recursive identification technology, this paper proposes a maximum likelihood recursive least squares algorithm.
LI Junhong ZHANG Jiali LU Guoping
doaj +1 more source
Vestige: Maximum likelihood phylogenetic footprinting
BMC Bioinformatics, 2005 Background Phylogenetic footprinting is the identification of functional regions of DNA by their evolutionary conservation. This is achieved by comparing orthologous regions from multiple species and identifying the DNA regions that have diverged less ...
Maxwell Peter +2 more
doaj +1 more source
Divisive hierarchical maximum likelihood clustering
BMC Bioinformatics, 2017 Background Biological data comprises various topologies or a mixture of forms, which makes its analysis extremely complicated. With this data increasing in a daily basis, the design and development of efficient and accurate statistical methods has become
Alok Sharma +2 more
doaj +1 more source
Physical Review Research, 2023 Given the recent developments in quantum techniques, modeling the physical Hamiltonian of a target quantum many-body system is becoming an increasingly practical and vital research direction.
Tian-Lun Zhao, Shi-Xin Hu, Yi Zhang
doaj +1 more source
Model fit after pairwise maximum likelihood
Frontiers in Psychology, 2016 Maximum likelihood factor analysis of discrete data within the structural equation modeling framework rests on the assumption that the observed discrete responses are manifestations of underlying continuous scores that are normally distributed.
M. T. eBarendse +3 more
doaj +1 more source