Topic: copula-models Goto Github
Some thing interesting about copula-models
Some thing interesting about copula-models
copula-models,Robust Estimation of Copulas by Maximum Mean Discrepancy
User: alexisderumigny
copula-models,Simulation of Partition-of-Unity copulas in R, e.g. for the purpose of modeling risk or for the creation of synthetic data based on restricted datasets
User: amaendle
copula-models,Python package for canonical vine copula trees with mixed continuous and discrete marginals
User: asnelt
copula-models,Matlab toolbox for canonical vine copula trees with mixed continuous and discrete marginals
User: asnelt
copula-models,Causal discovery from mixed data with missing values.
User: cuiruifei
copula-models,Inference for Gaussian copula factor models and its application to causal discovery.
User: cuiruifei
copula-models,Multivariate data modelling with Copulas in Python
User: danielbok
Home Page: https://copulae.readthedocs.io/en/latest/
copula-models,Copula-based Hidden Markov Model (HMM) to decode tactics in a football match. Final project for the Probabilistic Machine Learning course of the MSc degree in Data Science and Artificial Intelligence (DSAI), University of Trieste
User: giuliofantuzzi
copula-models,Multivariate Environmental Statistics (BEE6300) R Code
User: ilellosmith
copula-models,The Quant Copula Playground is a Shiny application designed for everyone interested in exploring the dependencies between stock returns using various copula models. This application is inspired by seminal works in the field of copulas, particularly "An Introduction to Copulas" by Roger B. Nelsen.
User: maxmlang
Home Page: https://maxmlang.shinyapps.io/copula-playground/
copula-models,Examples of scheduled jobs estimating copulas at www.microprediction.org
User: microprediction
Home Page: http://www.microprediction.org
copula-models,Gumbel, Clayton, Frank, and Independence copula that use on Weibull distribution.
User: peterhuang024
copula-models,The repo contains the main topics carried out in my master's thesis on operational risk. In particular, it is described how to implement the so called Loss Distribution Approach (LDA), which is considered the state-of-the-art method to compute capital charge among large banks.
User: rena95
copula-models,In this project, we predict the probability of occurrence of risk in the Indian territory, based on the historical data of precipitation and temperature between the years 1951 - 2015
User: sagnik07
copula-models,Copula fitting in Python.
User: tfm000
Home Page: https://sklarpy.readthedocs.io/en/latest/
copula-models,Portfolio credit risk modeling
User: torrentg
Home Page: https://www.ccruncher.net/
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