Results 41 to 50 of about 8,645,876 (363)
Probabilistic Machine Learning Using Bayesian Inference
Undergraduate Journal of Mathematical Modeling: One + Two, 2020 Machine Learning is a branch of AI (Artificial Intelligence) which expands on the idea of a computational system extending its knowledge about set methodical behaviors from the data that is fed to it to essentially develop analytical skills that can help
Mayank Pandey
doaj +1 more source
RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression
Journal of Statistical Software, 2016 An important task in astroparticle physics is the detection of periodicities in irregularly sampled time series, called light curves. The classic Fourier periodogram cannot deal with irregular sampling and with the measurement accuracies that are ...
Anita M. Thieler +2 more
doaj +1 more source
Moments of averages of generalized Ramanujan sums
, 2015 Let $\beta$ be a positive integer. A generalization of the Ramanujan sum due to Cohen is given by \begin{align} c_{q,\beta }(n) := \sum\limits_{{{(h,{q^\beta })}_\beta } = 1} {{e^{2\pi inh/{q^\beta }}}}, \nonumber \end{align} where $h$ ranges over the ...
Robles, Nicolas, Roy, Arindam
core +1 more source
Skewed superstatistical distributions from a Langevin and Fokker-Planck approach [PDF]
, 2010 The superstatistics concept is a useful statistical method to describe inhomogeneous complex systems for which a system parameter $\beta$ fluctuates on a large spatio-temporal scale.
Beck, Christian, Van der Straeten, Erik
core +2 more sources
Beta Bessel distributions [PDF]
International Journal of Mathematics and Mathematical Sciences, 2006 Three new distributions on the unit interval [0, 1] are introduced which generalize the standard beta distribution. These distributions involve the Bessel function. Expression is derived for their shapes, particular cases, and the nth moments. Estimation by the method of maximum likelihood and Bayes estimation are discussed.
Arjun K. Gupta, Saralees Nadarajah
openaire +2 more sources
Generalized Beta Distribution of the Second Kind for Flood Frequency Analysis
Entropy, 2017 Estimation of flood magnitude for a given recurrence interval T (T-year flood) at a specific location is needed for design of hydraulic and civil infrastructure facilities.
Lu Chen, V. Singh
semanticscholar +1 more source
Mixed and Mixture Regression Models for Continuous Bounded Responses Using the Beta Distribution
, 2011 Jay Verkuilen, Michael Smithson
openalex +3 more sources
The study of properties on generalized Beta distribution
Journal of Physics: Conference Series, 2018 Statistical distributions such as Normal, Log-Normal, Gamma and Beta distributions have been studied to determine the fitting ability of the distributions in different field of studies.
D. W. W. Ng +3 more
semanticscholar +1 more source
Some generalised extended incomplete beta functions and applications
Journal of New Results in Science, 2022 This paper introduces generalised incomplete beta functions defined by the generalised beta function. Firstly, we provide some of the generalised beta function's basic properties, such as integral representations, summation formulas, Mellin transform ...
Ayşegül Çetinkaya +3 more
doaj +1 more source
The beta generalized exponential distribution [PDF]
Journal of Statistical Computation and Simulation, 2010 We introduce the beta generalized exponential distribution that includes the beta exponential and generalized exponential distributions as special cases. We provide a comprehensive mathematical treatment of this distribution. We derive the moment generating function and the $r$th moment thus generalizing some results in the literature.
Barreto-Souza, Wagner +2 more
openaire +2 more sources