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gk: An R Package for the g-and-k and generalised g-and-h Distributions

gk: An R Package for the g-and-k and generalised g-and-h Distributions

21 June 2017
D. Prangle
ArXiv (abs)PDFHTML

Papers citing "gk: An R Package for the g-and-k and generalised g-and-h Distributions"

5 / 5 papers shown
Title
Estimating Quantile Families of Loss Distributions for Non-Life
  Insurance Modelling via L-moments
Estimating Quantile Families of Loss Distributions for Non-Life Insurance Modelling via L-moments
G. Peters
W. Chen
Richard Gerlach
30
29
0
03 Mar 2016
A Comparative Review of Dimension Reduction Methods in Approximate
  Bayesian Computation
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation
M. Blum
M. Nunes
D. Prangle
Scott A. Sisson
183
364
0
16 Feb 2012
Approximate Bayesian Computational methods
Approximate Bayesian Computational methods
Jean-Michel Marin
Pierre Pudlo
Christian P. Robert
Robin J. Ryder
224
866
0
05 Jan 2011
Constructing Summary Statistics for Approximate Bayesian Computation:
  Semi-automatic ABC
Constructing Summary Statistics for Approximate Bayesian Computation: Semi-automatic ABC
Paul Fearnhead
D. Prangle
82
87
0
07 Apr 2010
On the ergodicity of the adaptive Metropolis algorithm on unbounded
  domains
On the ergodicity of the adaptive Metropolis algorithm on unbounded domains
E. Saksman
M. Vihola
92
72
0
18 Jun 2008
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