Continuous Probability Distributions generated by the PIPE Algorithm
Abstract We investigate the use of the Probabilistic Incremental Programming Evolution (PIPE) algorithm as a tool to construct continuous cumulative distribution functions to model given data sets. The PIPE algorithm can generate several candidate functions to fit the empirical distribution of data....
Main Authors: | LUIS G.B. PINHO, JUVÊNCIO S. NOBRE, GAUSS M. CORDEIRO |
---|---|
Format: | Article |
Language: | English |
Published: |
Academia Brasileira de Ciências
2022-11-01
|
Series: | Anais da Academia Brasileira de Ciências |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000500301&tlng=en |
Similar Items
-
Partial identification of probability distributions /
by: 303995 Manski, Charles F.
Published: (2003) -
Applying the Moment Generating Functions to the Study of Probability Distributions
Published: (2007-01-01) -
Probability Distributions Describing Qubit-State Superpositions
by: Margarita A. Man’ko, et al.
Published: (2023-09-01) -
Probability distributions : an introduction to probability theory with applications/
by: 402490 Tsokos, Chris P.
Published: (1972) -
18.05 Introduction to Probability and Statistics, Spring 2005
by: Panchenko, Dmitry
Published: (2005)