Live briefing
Everything about Gamma process
Stochastic process for effort or wear
A gamma process, also called the Moran-Gamma subordinator, is a two-parameter stochastic process which models the accumulation of effort or wear over time. The gamma process has independent and stationary increments which follow the gamma distribution, hence the name. The gamma process is studied in mathematics, statistics, probability theory, and stochastics, with particular applications in deterioration modeling and mathematical finance. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Gamma processA 5-minute orientation
- Skim a recent paper: Peroxisome proliferator-activated receptor gamma coactivator-1 (PGC-1) family in physiological and pathophysiological process and diseasesInfluential work since 2022
- Pick up a classic book: Analysis of data from the energetic gamma-ray experiment on the gamma ray observatoryThe most-reprinted book on the subject
- Read the landmark paper: Flexible paleoclimate age-depth models using an autoregressive gamma processCited 3,523 times
- Go sideways: Natural exponential familyA closely related topic
- Go sideways: Variance functionA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Flexible paleoclimate age-depth models using an autoregressive gamma process
The Variance Gamma Process and Option Pricing
A Gamma Wear Process
Gamma process based optimal mission abort policy
Risk Theory with the Gamma Process
The $\gamma \gamma \to \gamma \gamma $ process in the standard and SUSY models at high energies
Simulation of weibull and gamma autoregressive stationary process
Sm-146 production by the gamma-process
🆕 Influential since 2022
Peroxisome proliferator-activated receptor gamma coactivator-1 (PGC-1) family in physiological and pathophysiological process and diseases
Fast Bayesian Inference of Reparameterized Gamma Process With Random Effects
Plasma Shock Wave in Gamma-Ray Bursts: Nonlinear Phenomena and Radiative Process
A new multivariate gamma process model for degradation analysis
A transformed gamma process for bounded degradation phenomena
📚 Books worth reading
- 📕Analysis of data from the energetic gamma-ray experiment on the gamma ray observatoryDonald A. Kniffen · 1993
- 📕Gamma-ray spectroscopy: with particular reference to detector and computer evaluation techniquesQuittner, Pál. · 1972
Gamma-ray spectroscopy, with particular reference to detector and computer evaluation techniquesPál Quittner · 1972- 📕MACKLIB-IV, a library of nuclear response functions generated with MACK-IV computer program from ENDF/B-IVY Gohar · 1978
- 📕MACKLIB-IV, a library of nuclear response functions generated with MACK-IV computer program from ENDF/B-IVY. Gohar · 1978
- 📕Computers in activation analysis and gamma-ray spectroscopyConference on Computers in Activation Analysis and Gamma-Ray Spectroscopy (1978 Mayagüez, P.R.) · 1979
- 📕A review of airborne gamma-ray spectrometric data processing technquesB. R. S. Minty · 1988
Neurobiology of the locus coeruleusJochen Klein · 1996
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Natural exponential family In probability and statistics, a natural exponential family (NEF) is a class of probability distributions that is a special case of an exponential family…
- Variance function In statistics, the variance function is a smooth function that depicts the variance of a random quantity as a function of its mean. The variance function…
- Wrapped exponential distribution In probability theory and directional statistics, a wrapped exponential distribution is a wrapped probability distribution that results from the "wrapping"…
- Exponential dispersion model In probability and statistics, the class of exponential dispersion models (EDM), also called exponential dispersion family (EDF), is a set of probability…
- Lomax distribution The Lomax distribution, conditionally also called the Pareto Type II distribution, is a heavy-tail probability distribution used in business, economics…
- Ornstein–Uhlenbeck process In mathematics, the Ornstein–Uhlenbeck process is a stochastic process with applications in financial mathematics, the physical sciences, and evolutionary…
- Variance gamma process In the theory of stochastic processes, a part of the mathematical theory of probability, the variance gamma (VG) process, also known as Laplace motion…
- Generalized inverse Gaussian distribution In probability theory and statistics, the generalized inverse Gaussian distribution (GIG) is a three-parameter family of continuous probability distributions…