Results 101 to 110 of about 13,471,124 (303)

"Empirical Likelihood Methods in Econometrics: Theory and Practice" [PDF]

Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inperspective, two interpretations of empirical likelihood are presented, one as a nonparametric maximum likelihood estimation method (NPMLE) and the other as
Yuichi Kitamura
core  

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola, Yasmine Illi, Anna Bircher, Marijn Wilmink, Rachele F. Malagutti, Solenn Ottié, Cordelia Schuler, Pedro A. Ruiz, Cheryl de Vallière, Klaus Seuwen, Gerhard Rogler, Martin Hausmann   +11 more
wiley   +1 more source

Common Methods for Phylogenetic Tree Construction and Their Implementation in R

Bioengineering
A phylogenetic tree can reflect the evolutionary relationships between species or gene families, and they play a critical role in modern biological research.
Yue Zou, Zixuan Zhang, Yujie Zeng, Hanyue Hu, Youjin Hao, Sheng Huang, Bo Li   +6 more
doaj   +1 more source

Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance [PDF]

This paper overviews maximum likelihood and Gaussian methods of estimating continuous time models used in finance. Since the exact likelihood can be constructed only in special cases, much attention has been devoted to the development of methods designed
Jun Yu, Peter C. B. Phillips
core  

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Dividing Social Networks into Two Communities Using the Maximum Likelihood Method: Application to ESG [PDF]

E3S Web of Conferences
This article explores the application of the Maximum Likelihood Estimation method (MLE) for community detection in environmental, social, and governance (ESG) networks.
Zakhidov Dilshodbek, Sagdillayeva Zulfiya, Moursy Ali R.A.   +2 more
doaj   +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

A Distance-Based Maximum Likelihood Estimation Method for Sensor Localization in Wireless Sensor Networks

International Journal of Distributed Sensor Networks, 2016
Node localization is an important supporting technology in wireless sensor networks (WSNs). Traditional maximum likelihood estimation based localization methods (MLE) assume that measurement errors are independent of the distance between the anchor node ...
Jing Xu, Jingsha He, Yuqiang Zhang, Fei Xu, Fangbo Cai   +4 more
doaj   +1 more source

On the Method of Maximum-Likelihood for Dependent Observations

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1974
Summary Under certain conditions on conditional probability densities, in the case of dependent observations, the maximum-likelihood estimate is proved to be consistent, asymptotically efficient and asymptotically normal.
openaire   +2 more sources