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Conditional Density Estimation Tools in Python and R with Applications
  to Photometric Redshifts and Likelihood-Free Cosmological Inference

Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference

30 August 2019
Niccolò Dalmasso
T. Pospisil
Ann B. Lee
Rafael Izbicki
P. Freeman
A. Malz
ArXivPDFHTML

Papers citing "Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference"

5 / 5 papers shown
Title
Epistemic Uncertainty in Conformal Scores: A Unified Approach
Epistemic Uncertainty in Conformal Scores: A Unified Approach
Luben M. C. Cabezas
Vagner S. Santos
Thiago Rodrigo Ramos
Rafael Izbicki
477
1
0
10 Feb 2025
Automatic Posterior Transformation for Likelihood-Free Inference
Automatic Posterior Transformation for Likelihood-Free Inference
David S. Greenberg
M. Nonnenmacher
Jakob H. Macke
368
329
0
17 May 2019
Adaptive Gaussian Copula ABC
Adaptive Gaussian Copula ABC
Yanzhi Chen
Michael U. Gutmann
TPM
129
27
0
27 Feb 2019
SKYNET: an efficient and robust neural network training tool for machine
  learning in astronomy
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy
P. Graff
F. Feroz
Michael P. Hobson
A. Lasenby
61
95
0
03 Sep 2013
Sparse Additive Models
Sparse Additive Models
Pradeep Ravikumar
John D. Lafferty
Han Liu
Larry A. Wasserman
475
574
0
28 Nov 2007
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