Results 91 to 100 of about 8,513,926 (380)

Investigating the parameters of the beta distribution

World Journal of Advanced Research and Reviews, 2023
The Beta distribution takes on many different shapes and may be described by two shape parameters, α and β, that can be difficult to estimate. Maximum likelihood and method of moments estimation are possible, though method of moments is much more straightforward and easier to compute by hand.
Ali H, Akanihu CN, Felix J
openaire   +2 more sources

Spot‐14 and its paralog Spot‐14R regulate expression of metabolic and thermogenic pathway genes in murine brown and beige adipocytes

FEBS Letters, EarlyView.
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez, Cristina Velez‐delValle, Claudia Patricia Hernández‐Mosqueira, Walid Kuri‐Harcuch   +3 more
wiley   +1 more source

Prediction distribution of generalized geometric series distribution and its different forms [PDF]

, 2009
The prediction distribution of generalized geometric series distribution (GGSD) and of its truncated and size-biased forms is derived and studied under the non-informative and beta prior distributions.
Hassan, Anwar, Khan, Shahjahan
core   +1 more source

STAT3 expression is reduced in cardiac pericytes in HFpEF and its loss reduces cellular adhesion and induces pericyte senescence

FEBS Letters, EarlyView.
Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek, Ariane Fischer, Mariano Ruz Jurado, Anita Tamiato, Tara Procida‐Kowalski, Jochen Wilhelm, Dennis Hecker, Maximilian Merten, Felicitas Escher, Badder Kattih, Valentina Puntmann, David John, Marcel H. Schulz, Eike Nagel, Stefanie Dimmeler, Guillermo Luxán   +15 more
wiley   +1 more source

Curve Fitting of the Corporate Recovery Rates: The Comparison of Beta Distribution Estimation and Kernel Density Estimation

PLoS ONE, 2013
Recovery rate is essential to the estimation of the portfolio’s loss and economic capital. Neglecting the randomness of the distribution of recovery rate may underestimate the risk.
Rongda Chen, Ze Wang
semanticscholar   +1 more source

Statistics of Superior Records

, 2013
We study statistics of records in a sequence of random variables. These identical and independently distributed variables are drawn from the parent distribution rho.
Ben-Naim, E., Krapivsky, P. L.
core   +1 more source

Ion channel function of polycystin‐2/polycystin‐1 heteromer revealed by structure‐guided mutagenesis

FEBS Letters, EarlyView.
Mutations in polycystin‐1 (PC1) or polycystin‐2 (PC2) cause autosomal‐dominant polycystic kidney disease (ADPKD). We generated a novel gain‐of‐function PC2/PC1 heteromeric ion channel by mutating pore‐blocking residues. Moreover, we demonstrated that PC2 will preferentially assemble with PC1 to form heteromeric complexes when PC1 is co‐expressed ...
Tobias Staudner, Juthamas Khamseekaew, M. Gregor Madej, Linda Geiges, Bardha Azemi, Christine Ziegler, Christoph Korbmacher, Alexandr V. Ilyaskin   +7 more
wiley   +1 more source

Universal Conductance Distribution in the Quantum Size Regime

, 1994
We study the conductance (g) distribution function of an ensemble of isolated conducting rings, with an Aharonov--Bohm flux. This is done in the discrete spectrum limit, i.e., when the inelastic rate, frequency and temperature are all smaller than the ...
A Kamenev, Altshuler B L, Altshuler B L, Cf Landauer R, Gorkov L P, Gorkov L P, Imry Y, Kamenev A, Mehta M L, Shapiro B, Shklovskii B I, Shklovskii B I, Y Gefen   +12 more
core   +1 more source

Flexible bivariate beta distributions

Journal of Multivariate Analysis, 2011
AbstractBivariate beta distributions which can be used to model data sets exhibiting positive or negative correlation are introduced. Properties of these bivariate beta distributions and their applications in Bayesian analysis are discussed. Three methods for parameter estimation are presented.
Hon Keung Tony Ng, Barry C. Arnold
openaire   +2 more sources

Beta-hypergeometric probability distribution on symmetric matrices [PDF]

arXiv, 2013
Some remarkable properties of the beta distribution are based on relations involving independence between beta random variables such that a parameter of one among them is the sum of the parameters of an other (see (1.1) et (1.2) below). Asci, Letac and Piccioni \cite{6} have used the real beta-hypergeometric distribution on $ \reel$ to give a general ...
arxiv