
LikelihoodFree Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification
Many areas of science make extensive use of computer simulators that imp...
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Validating Conditional Density Models and Bayesian Inference Algorithms
Conditional density models f(yx), where x represents a potentially high...
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HECT: HighDimensional Ensemble Consistency Testing for Climate Models
Climate models play a crucial role in understanding the effect of enviro...
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Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning
Tropical cyclone (TC) intensity forecasts are ultimately issued by human...
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Architectural Distant Reading Using Machine Learning to Identify Typological Traits Across Multiple Buildings
This paper introduces an approach to architectural “distant reading”: th...
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When the Oracle Misleads: Modeling the Consequences of Using Observable Rather than Potential Outcomes in Risk Assessment Instruments
Machine learningbased Risk Assessment Instruments are increasingly wide...
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Clarifying the Hubble constant tension with a Bayesian hierarchical model of the local distance ladder
Estimates of the Hubble constant, $H_0$, from the local distance ladder ...
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Lebesgue Regression
We propose Lebesgue Regression, a nonparametric highdimensional regres...
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Feature Engineering for Entity Resolution with Arabic Names: Improving Estimates of Observed Casualties in the Syrian Civil War
Entity resolution or record linkage is the task of identifying records r...
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Predictive Inference of a Wildfire Risk Pipeline in the United States
Wildfires are rare catastrophic events that are influenced by global cli...
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Confidence Sets and Hypothesis Testing in a LikelihoodFree Inference Setting
Parameter estimation, statistical tests and confidence sets are the corn...
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Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and LikelihoodFree Cosmological Inference
It is well known in astronomy that propagating nonGaussian prediction u...
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A Flexible Pipeline for Prediction of Tropical Cyclone Paths
Hurricanes and, more generally, tropical cyclones (TCs) are rare, comple...
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Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
Complex phenomena are often modeled with computationally intensive feed...
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Niccolò Dalmasso
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