Results 101 to 110 of about 2,750,597 (335)

A Bayesian Model to Incorporate Jointly Distributed Generalized Prior Information on Means and Loadings in Factor Analysis [PDF]

, 2001
A Bayesian factor analysis model is outlined in which prior knowledge regarding the model parameters is quantified using prior distribution and incorporated into the inferences along with the data.
Rowe, Daniel B.
core  

On conjugate families and Jeffreys priors for von Mises–Fisher distributions

Journal of Statistical Planning and Inference, 2013
This paper discusses characteristics of standard conjugate priors and their induced posteriors in Bayesian inference for von Mises-Fisher distributions, using either the canonical natural exponential family or the more commonly employed polar coordinate parameterizations.
Hornik, Kurt, Grün, Bettina
openaire   +2 more sources

Bayesian marginal equivalence of elliptical regression models. [PDF]

The use of proper prior densities in regression models with multivariate non-Normal elliptical error distributions is examined when the scale matrix is known up to a precision factor T, treated as a nuisance parameter.
Osiewalski, Jacek, Steel, Mark F.J.
core  

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

Molecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint‐Lahat, Shlomit Gilad, Dana Morzaev‐Sulzbach, Anjana Shenoy, Noa Bossel Ben‐Moshe, Anya Pavlovsky, Rinat Bernstein‐Molho, Eytan Domany, Iris Barshack, Tamar Geiger, Bella Kaufman, Einav Nili Gal‐Yam   +14 more
wiley   +1 more source

Aberrant expression of nuclear prothymosin α contributes to epithelial‐mesenchymal transition in lung cancer

Molecular Oncology, EarlyView.
Nuclear prothymosin α inhibits epithelial‐mesenchymal transition (EMT) in lung cancer by increasing Smad7 acetylation and competing with Smad2 for binding to SNAI1, TWIST1, and ZEB1 promoters. In early‐stage cancer, ProT suppresses TGF‐β‐induced EMT, while its loss in the nucleus in late‐stage cancer leads to enhanced EMT and poor prognosis.
Liyun Chen, Chung‐Teng Wang, Jia‐Ming Chang, Ai‐Li Shiau, Gia‐Shing Shieh, Yau‐Lin Tseng, Yi‐Ting Yen, Tang‐Hsiu Huang, Li‐Hsin Cheng, Yu‐Chih Wu, Chao‐Liang Wu, Bing‐Hua Su, Pensee Wu   +12 more
wiley   +1 more source

Early metastasis is characterized by Gr1+ cell dysregulation and is inhibited by immunomodulatory nanoparticles

Molecular Oncology, EarlyView.
Breast cancer metastasis is associated with myeloid cell dysregulation and the lung‐specific accumulation of tumor‐supportive Gr1+ cells. Gr1+ cells support metastasis, in part, through a CHI3L1‐mediated mechanism, which can be targeted and inhibited with cargo‐free, polymeric nanoparticles.
Jeffrey A. Ma, Sophia M. Orbach, Kate V. Griffin, Kathryn Kang, Yining Zhang, Rebecca S. Pereles, Ian A. Schrack, Guillermo Escalona, Jacqueline S. Jeruss, Lonnie D. Shea   +9 more
wiley   +1 more source

E-Bayesian estimation for the Lomax distribution based on type-II censored data

Journal of the Egyptian Mathematical Society, 2014
This paper is concerned with using the E-Bayesian method for computing estimates of the unknown parameter and some survival time parameters e.g. reliability and hazard functions of Lomax distribution based on type-II censored data.
Hassan M. Okasha
doaj   +1 more source

Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data [PDF]

We propose a natural conjugate prior for the instrumentalvariables regression model. The prior is a natural conjugate onesince the marginal prior and posterior of the structural parameterhave the same functional expressions which directly reveal ...
Dijk, H.K. van, Hoogerheide, L.F., Kleibergen, F.R.   +2 more
core   +1 more source

Loss of proton‐sensing GPR4 reduces tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
G protein‐coupled receptor 4 (GPR4) is a pH‐sensing receptor activated by acidic pH. GPR4 expression is increased in patients with inflammatory bowel disease who are at high risk of developing colorectal cancer. In mouse models, loss of GPR4 attenuated tumor progression. This correlated with increased IL2 and natural killer cell activity.
Leonie Perren, Moana Busch, Pedro A. Ruiz, Ermanno Malagola, Valeria Baumeler, Federica Foti, Adelina Gross, Tobias Grütter, Hendrik Edel, Cordelia Schuler, Kristina Handler, Glenn De Lange, Isabelle C. Arnold, Cheryl de Vallière, Klaus Seuwen, Martin Hausmann, Gerhard Rogler   +16 more
wiley   +1 more source

ESTIMASI PARAMETER DARI DISTRIBUSI LOMAX MENGGUNAKAN METODE BAYESIAN ENTROPY LOSS FUCTION

Jurnal Lebesgue
The purpose of this research is estimating shape parameter (θ) of  Lomax distribution with known shape parameter (β). Estimating parameter of Lomax Distribution using Bayesian Entropy Loss Function method with Gamma prior as conjugate prior of parameter (
Ridha Fadhila Sani, Ferra Yanuar, Dodi Devianto   +2 more
doaj   +1 more source