Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation

被引：0

作者：

Cunha, Americo ^{[1
]}

Barton, David A.W. ^{[2
]}

Ritto, Thiago G. ^{[3
]}

机构：

[1] Rio de Janeiro State University - UERJ, Institute of Mathematics and Statistics, Rio de Janeiro, Brazil

[2] University of Bristol, Faculty of Engineering, Bristol, United Kingdom

[3] Federal University of Rio de Janeiro - UFRJ, Department of Mechanical Engineering, Rio de Janeiro, Brazil

来源：

arXiv | 2022年

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Bayesian networks - Epidemiology - Machine learning - Ordinary differential equations - Uncertainty analysis

引用

共 50 条

[41] Improving turbo decoding via cross-entropy minimization
Buckley, ME
Krishnamachari, B
Wicker, SB
Hagenauer, J
2000 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS, 2000, : 66 - 66
[42] Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries
Raynal, Louis
Chen, Sixing
Mira, Antonietta
Onnela, Jukka-Pekka
BAYESIAN ANALYSIS, 2022, 17 (01): : 165 - 192
[43] Harnessing uncertainty to approximate mechanistic models of interspecific interactions
Clark, Adam Thomas
Neuhauser, Claudia
THEORETICAL POPULATION BIOLOGY, 2018, 123 : 35 - 44
[44] A BAYESIAN INTERPRETATION OF THE LINEARLY-CONSTRAINED CROSS-ENTROPY MINIMIZATION PROBLEM
TSAO, HSJ
FANG, SC
LEE, DN
ENGINEERING OPTIMIZATION, 1993, 22 (01) : 65 - 75
[45] Approximate Bayesian Computation for a Class of Time Series Models
Jasra, Ajay
INTERNATIONAL STATISTICAL REVIEW, 2015, 83 (03) : 405 - 435
[46] Approximate Bayesian computation via regression density estimation
Fan, Yanan
Nott, David J.
Sisson, Scott A.
STAT, 2013, 2 (01): : 34 - 48
[47] Predictive Approximate Bayesian Computation via Saddle Points
Yang, Yingxiang
Dai, Bo
Kiyavash, Negar
He, Niao
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
[48] Bayesian uncertainty quantification for anaerobic digestion models
Picard-Weibel, Antoine
Capson-Tojo, Gabriel
Guedj, Benjamin
Moscoviz, Roman
BIORESOURCE TECHNOLOGY, 2024, 394
[49] Incorporating Contact Network Uncertainty in Individual Level Models of Infectious Disease using Approximate Bayesian Computation
Almutiry, Waleed
Deardon, Rob
INTERNATIONAL JOURNAL OF BIOSTATISTICS, 2020, 16 (01):
[50] Emulator-enabled approximate Bayesian computation (ABC) and uncertainty analysis for computationally expensive groundwater models
Cui, Tao
Peeters, Luk
Pagendam, Dan
Pickett, Trevor
Jin, Huidong
Crosbie, Russell S.
Raiber, Matthias
Rassam, David W.
Gilfedder, Mat
JOURNAL OF HYDROLOGY, 2018, 564 : 191 - 207

← 1 2 3 4 5 →