Petra Kuhnert

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems	2024	Daniel MacKinlay Russell Tsuchida Dan Pagendam Petra Kuhnert
+	Resolving Ethics Trade-offs in Implementing Responsible AI	2024	Conrad Sanderson Emma Schleiger David C. Douglas Petra Kuhnert Qinghua Lu
+ PDF Chat	Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires	2023	Joel Janek Dabrowski Dan Pagendam James Hilton Conrad Sanderson Daniel MacKinlay Carolyn Huston Andrew Bolt Petra Kuhnert
+	A Neural Emulator for Uncertainty Estimation of Fire Propagation	2023	Andrew Bolt Conrad Sanderson Joel Janek Dabrowski Carolyn Huston Petra Kuhnert
+	A Neural Emulator for Uncertainty Estimation of Fire Propagation	2023	Andrew Bolt Conrad Sanderson Joel Janek Dabrowski Carolyn Huston Petra Kuhnert
+ PDF Chat	A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models	2022	Andrew Bolt Carolyn Huston Petra Kuhnert Joel Janek Dabrowski James Hilton Conrad Sanderson
+ PDF Chat	Smallset Timelines: A Visual Representation of Data Preprocessing Decisions	2022	Lydia R Lucchesi Petra Kuhnert Jenny L. Davis Lexing Xie
+	An Emulation Framework for Fire Front Spread	2022	Andrew Bolt Joel Janek Dabrowski Carolyn Huston Petra Kuhnert
+	A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models	2022	Andrew Bolt Carolyn Huston Petra Kuhnert Joel Janek Dabrowski James Hilton Conrad Sanderson
+	Towards Data Assimilation in Level-Set Wildfire Models Using Bayesian Filtering	2022	Joel Janek Dabrowski Carolyn Huston James Hilton Stéphane Mangeon Petra Kuhnert
+	Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires	2022	Joel Janek Dabrowski Dan Pagendam James Hilton Conrad Sanderson Daniel MacKinlay Carolyn Huston Andrew Bolt Petra Kuhnert
+	Smallset Timelines: A Visual Representation of Data Preprocessing Decisions	2022	Lydia R Lucchesi Petra Kuhnert Jenny Davis Lexing Xie
+	The Provision and Utility of Science and Uncertainty to Decision-Makers: Earth Science Case Studies	2018	Mark Quigley Luke G. Bennetts Patricia Durance Petra Kuhnert Mark Lindsay Keith G. Pembleton Melanie E. Roberts Christopher J. White
+ PDF Chat	Comment	2018	Petra Kuhnert
+	Bayesian Model Comparison: Review and Discussion	2005	Clair Alston‐Knox Petra Kuhnert Samantha Low‐Choy R. McVinish Kerrie Mengersen
+	Bridging the Gap between Different Statistical Approaches: An Integrated Framework for Modelling	2003	Petra Kuhnert Kerrie Mengersen Peter Tesar
+	Reliability Measures for Local Nodes Assessment in Classification Trees	2003	Petra Kuhnert Kerrie Mengersen
+	Genetic analysis of the age at menopause by using estimating equations and Bayesian random effects models	2000	K-A Do Bradley M. Broom Petra Kuhnert David L. Duffy Alexandre A. Todorov Susan A. Treloar Nicholas G. Martin
+	Genetic analysis of the age at menopause by using estimating equations and Bayesian random effects models	2000	K-A Do Bradley M. Broom Petra Kuhnert David L. Duffy Alexandre A. Todorov Susan A. Treloar Nicholas G. Martin

Common Coauthors

Coauthor	Papers Together
Carolyn Huston	8
Joel Janek Dabrowski	8
Conrad Sanderson	7
Andrew Bolt	4
Kerrie Mengersen	3
James Hilton	3
Andrew Bolt	3
Dan Pagendam	3
Daniel MacKinlay	3
K-A Do	2
Bradley M. Broom	2
Nicholas G. Martin	2
Susan A. Treloar	2
David L. Duffy	2
Lydia R Lucchesi	2
Lexing Xie	2
James Hilton	2
Alexandre A. Todorov	2
Jenny Davis	1
Mark Quigley	1
Clair Alston‐Knox	1
Peter Tesar	1
Samantha Low‐Choy	1
Patricia Durance	1
Emma Schleiger	1
Luke G. Bennetts	1
Melanie E. Roberts	1
David C. Douglas	1
Stéphane Mangeon	1
R. McVinish	1
Qinghua Lu	1
Mark Lindsay	1
Jenny L. Davis	1
Christopher J. White	1
Russell Tsuchida	1
Keith G. Pembleton	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics	2020	John Burge Matthew Bonanni Matthias Ihme Ricky Hu	3
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	3
+	Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators	2012	William B. Leeds Christopher K. Wikle Jérôme Fiechter Jeremiah Brown Ralph F. Milliff	3
+	Modeling wildland fire propagation with level set methods	2009	Vivien Mallet David E. Keyes F. E. Fendell	3
+	A review of machine learning applications in wildfire science and management	2020	Piyush Jain Sean C. P. Coogan Sriram Ganapathi Subramanian Mark Crowley Steve Taylor Mike Flannigan	3
+	Building high accuracy emulators for scientific simulations with deep neural architecture search	2021	Muhammad Kasim Duncan Watson‐Parris Lucia Deaconu Sophy Oliver Peter Hatfield D. H. Froula Giovanni Gregori M. J. Jarvis Samar Khatiwala Jun Korenaga	3
+	Opportunistic emulation of computationally expensive simulations via Deep Learning	2021	Conrad Sanderson Dan Pagendam Brendan Power Frederick Bennett Ross Darnell	3
+ PDF Chat	Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires	2023	Joel Janek Dabrowski Dan Pagendam James Hilton Conrad Sanderson Daniel MacKinlay Carolyn Huston Andrew Bolt Petra Kuhnert	2
+	Combining non-parametric models with logistic regression: an application to motor vehicle injury data	2000	Petra Kuhnert Kim‐Anh Do Rod McClure	2
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	2
+ PDF Chat	Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)	2000	Jerome H. Friedman Trevor Hastie Robert Tibshirani	2
+	Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?	2018	Boris Hanin	2
+ PDF Chat	Inference from Iterative Simulation Using Multiple Sequences	1992	Andrew Gelman Donald B. Rubin	2
+ PDF Chat	A comprehensive review of deep learning applications in hydrology and water resources	2020	Muhammed Sit Bekir Demiray Zhongrun Xiang Gregory J. Ewing Yusuf Sermet İbrahim Demir	2
+	Improving Deep Learning Interpretability by Saliency Guided Training.	2021	Aya Abdelsalam Ismail Héctor Corrada Bravo Soheil Feizi	2
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	1
+	A comparison of two nonparametric estimation schemes: MARS and neural networks	1993	Richard D. De Veaux Dimitris C. Psichogios Lyle Ungar	1
+	Assessing familial aggregation of age at onset, by using estimating equations, with application to breast cancer.	1996	Li Hsu Lue Ping Zhao	1
+	An introduction to multivariate adaptive regression splines	1995	Jerome H. Friedman Charles B. Roosen	1
+	Bayesian density estimation using bernstein polynomials	1999	Sonia Petrone	1
+	Monte Carlo Estimation of Mixed Models for Large Complex Pedigrees	1994	Sun-Wei Guo E. A. Thompson	1
+	Correlated Binary Regression with Covariates Specific to Each Binary Observation	1988	Ross L. Prentice	1
+	Reversible Jump MCMC Converging to Birth-and-Death MCMC and More General Continuous Time Samplers	2001	Olivier Cappé Christian P. Robert Tobias Rydén	1
+ PDF Chat	Bayesian analysis of mixture models with an unknown number of components—an alternative to reversible jump methods	2000	Matthew Stephens	1
+	A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence	1978	David Clayton	1
+ PDF Chat	The Method of Path Coefficients	1934	Sewall Wright	1
+ PDF Chat	Bayesian Measures of Model Complexity and Fit	2002	David J. Spiegelhalter Nicola Best Bradley P. Carlin Angelika van der Linde	1
+	Stochastic gradient boosting	2002	Jerome H. Friedman	1
+	MARS: A tutorial	1992	Sonja Sekulic Bruce R. Kowalski	1
+ PDF Chat	Deviance information criteria for missing data models	2006	Gilles Celeux Florence Forbes Caroline Robert D. M. Titterington	1
+	Reliability Measures for Local Nodes Assessment in Classification Trees	2003	Petra Kuhnert Kerrie Mengersen	1
+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch	1
+	On assessing the strength of dependency between failure time variates	1996	Li Hsu	1
+	Recursive Partitioning for the Identification of Disease Risk Subgroups: A Case-Control Study of Subarachnoid Hemorrhage	1998	Lorene M. Nelson D. Blöch W. T. Longstreth Hong Shi	1
+	Bayesian Model Choice Via Markov Chain Monte Carlo Methods	1995	Bradley P. Carlin Siddhartha Chib	1
+	Bayesian Environmental Policy Decisions: Two Case Studies	1996	Lara J. Wolfson Joseph B. Kadane Mitchell J. Small	1
+	Genetic analysis of the age at menopause by using estimating equations and Bayesian random effects models	2000	K-A Do Bradley M. Broom Petra Kuhnert David L. Duffy Alexandre A. Todorov Susan A. Treloar Nicholas G. Martin	1
+	A fast distance‐based approach for determining the number of components in mixtures	2003	Sujit K. Sahu Russell Cheng	1
+	Bayesian Nonparametric Modeling Using Mixtures of Triangular Distributions	2001	François Perron Kerrie Mengersen	1
+	Pedigree analysis package vs. MIXD: Fitting the mixed model on a large pedigree	1996	Adam B. Olshen Ellen M. Wijsman	1
+	Longitudinal data analysis using generalized linear models	1986	Kung‐Yee Liang Scott L. Zeger	1
+ PDF Chat	Bayesian CART Model Search	1998	Hugh Chipman Edward I. George Robert E. McCulloch	1
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	1
+	Expected-posterior prior distributions for model selection	2002	Jose Perez	1
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	1
+	Bayesian Statistics 4.	1993	Jim Q. Smith J. M. Bernardo James O. Berger A. P. Dawid A. F. M. Smith	1
+	The Advanced Theory of Statistics.	1978	G. M. Clarke M. G. Kendall A. Stuart	1
+	Bayesian point null hypothesis testing via the posterior likelihood ratio	2005	Murray Aitkin Richard J. Boys Tom Chadwick	1