
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones
Tropical cyclone (TC) intensity forecasts are issued by human forecaster...
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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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MeLIME: Meaningful Local Explanation for Machine Learning Models
Most stateoftheart machine learning algorithms induce blackbox model...
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Wisdom of the crowds forecasting the 2018 FIFA Men's World Cup
The FIFA Men's World Cup Tournament (WCT) is the most important football...
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CDsplit: efficient conformal regions in high dimensions
Conformal methods create prediction bands that control average coverage ...
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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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Distance Assessment and Hypothesis Testing of HighDimensional Samples using Variational Autoencoders
Given two distinct datasets, an important question is if they have arise...
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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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Conditional independence testing: a predictive perspective
Conditional independence testing is a key problem required by many machi...
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Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space
As machine learning becomes an important part of many real world applica...
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The NNStacking: Feature weighted linear stacking through neural networks
Stacking methods improve the prediction performance of regression models...
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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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Teaching decision theory proof strategies using a crowdsourcing problem
Teaching how to derive minimax decision rules can be challenging because...
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Interpretable hypothesis tests
Although hypothesis tests play a prominent role in Science, their interp...
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Quantification under prior probability shift: the ratio estimator and its extensions
The quantification problem consists of determining the prevalence of a g...
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WIKS: A general Bayesian nonparametric index for quantifying differences between two populations
The problem of deciding whether two samples arise from the same distribu...
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ABCCDE: Towards Approximate Bayesian Computation with Complex HighDimensional Data and Limited Simulations
Approximate Bayesian Computation (ABC) is typically used when the likeli...
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Agnostic tests can control the type I and type II errors simultaneously
Despite its common practice, statistical hypothesis testing presents cha...
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A Spectral Series Approach to HighDimensional Nonparametric Regression
A key question in modern statistics is how to make fast and reliable inf...
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Rafael Izbicki
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