Results 41 to 50 of about 2,104,160 (282)

Maximum Likelihood Estimation for Mixed Fractional Vasicek Processes

open access: yesFractal and Fractional, 2022
In this paper, we consider the problem of estimating the drift parameters in the mixed fractional Vasicek model, which is an extended model of the traditional Vasicek model.
Chun-Hao Cai   +3 more
doaj   +1 more source

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter   +17 more
wiley   +1 more source

A maximum likelihood framework for protein design

open access: yesBMC Bioinformatics, 2006
Background The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, this problem can also be understood in a wider context, where additional ...
Philippe Hervé   +4 more
doaj   +1 more source

Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models

open access: yesEconometrics, 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

Maximum Likelihood Genome Assembly [PDF]

open access: yesJournal of Computational Biology, 2009
Whole genome shotgun assembly is the process of taking many short sequenced segments (reads) and reconstructing the genome from which they originated. We demonstrate how the technique of bidirected network flow can be used to explicitly model the double-stranded nature of DNA for genome assembly.
Paul, Medvedev, Michael, Brudno
openaire   +2 more sources

The maximum likelihood degree of Fermat hypersurfaces [PDF]

open access: yes, 2015
We study the critical points of the likelihood function over the Fermat hypersurface. This problem is related to one of the main problems in statistical optimization: maximum likelihood estimation.
Agostini, Daniele   +3 more
core   +4 more sources

Feasibility and Safety of High‐Dose Proton Re‐Irradiation in Recurrent Pediatric Central Nervous System Tumors: A Single‐Institution Retrospective Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song   +15 more
wiley   +1 more source

Hybrid TOA/AOA Approximate Maximum Likelihood Mobile Localization

open access: yesJournal of Electrical and Computer Engineering, 2010
This letter deals with a hybrid time-of-arrival/angle-of-arrival (TOA/AOA) approximate maximum likelihood (AML) wireless location algorithm. Thanks to the use of both TOA/AOA measurements, the proposed technique can rely on two base stations (BS) only ...
Mohamed Zhaounia   +2 more
doaj   +1 more source

Observed Range Maximum Likelihood Estimation [PDF]

open access: yes, 2011
The idea of maximizing the likelihood of the observed range for a set of jointly realized counts has been employed in a variety of contexts. The applicability of the MLE introduced in [1] has been extended to the general case of a multivariate sample ...
Markov, Plamen
core  

Conditional maximum likelihood timing recovery [PDF]

open access: yes, 1999
The conditional maximum likelihood (CML) principle, well known in the context of sensor array processing, is applied to the problem of timing recovery. A new self-noise free CML-based timing error detector is derived.
Riba Sagarra, Jaume   +1 more
core   +1 more source

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