Results 81 to 90 of about 14,311,082 (276)

Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function [PDF]

In this paper, we consider the problem of estimation of semi-linear regression models. Using invariance arguments, Bhowmik and King (2001) have derived the probability density functions of the maximal invariant statistic for the nonlinear component of ...
Jahar L. Bhowmik, Maxwell L. King
core  

Noncoherent Maximum Likelihood Detection for Differential Spatial Multiplexing MIMO Systems [PDF]

, 2010
In this paper, we propose a novel noncoherent maximum likelihood detection (NMLD) method for differential spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems.
Handa, Shiro, Jia, Ziyan, Oshita, Shinjiro, Yoshii, Katsunobu, Sasamori, Fumihito   +4 more
core   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

An Optimized-Hierarchy-Aided Maximum Likelihood Detector for MIMO-OFDM

, 2006
In this paper we propose a novel low-complexity Maximum Likelihood (ML) space-time detection method, which can be regarded as an advanced extension of the Complex Sphere Decoder (CSD).
Akhtman, J., Hanzo, L.
core   +1 more source

Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified

, 2013
Se desarrollan diferentes distribuciones generalizadas en la literatura estadística, entre ellas está la distribución hiperbólica secante generalizada (SHG). Este artículo presenta un método alternativo para estimar los parámetros de población del SHG, llamado Probabilidad Máxima Modificada (MVM).
Másmela Caita, Luis Alejandro, Burbano Moreno, Álvaro Alexander   +1 more
openaire   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints [PDF]

This paper discusses issues on the estimation of consumer demand equations subject to binding non-negative constraints. We propose computationally feasible specifications and a simulated maximum likelihood (SML) method for demand systems. Our study shows
Lung-fei Lee, Chihwa Kao, Mark M. Pitt
core  

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Likelihood inference for small variance components

, 2000
In this paper, we develop likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, we use local asymptotic approximations to construct confidence intervals for the components ...
Stern, S.E., Welsh, A.H.
core   +1 more source

Odds Ratios Estimation of Rare Event in Binomial Distribution

Journal of Probability and Statistics, 2016
We introduce the new estimator of odds ratios in rare events using Empirical Bayes method in two independent binomial distributions. We compare the proposed estimates of odds ratios with two estimators, modified maximum likelihood estimator (MMLE) and ...
Kobkun Raweesawat, Yupaporn Areepong, Katechan Jampachaisri, Saowanit Sukparungsee   +3 more
doaj   +1 more source