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Imputing missing values with unsupervised random trees
This work proposes a non-iterative strategy for missing value imputations which is guided by similarity between observations, but instead of explicitly determining distances or nearest neighbors, it assigns observations to overl ... Read More >
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GET: Global envelopes in R
This work describes the R package GET that implements global envelopes for a general set of $d$-dimensional vectors $T$ in various applications. A $100(1-\alpha)$% global envelope is a band bounded by two vectors such that the p ... Read More >
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Akaike's Bayesian information criterion (ABIC) or not ABIC for geophysical inver ...
Akaike's Bayesian information criterion (ABIC) has been widely used in geophysical inversion and beyond. However, little has been done to investigate its statistical aspects. We present an alternative derivation of the marginal ... Read More >
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Assessing the global and local uncertainty in scientific evidence in the presenc ...
Scientists need to compare the support for models based on observed phenomena. The main goal of the evidential paradigm is to quantify the strength of evidence in the data for a reference model relative to an alternative model. ... Read More >
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Thirteen Simple Steps for Creating An R Package with an External C++ Library
We desribe how we extend R with an external C++ code library by using the Rcpp package. Our working example uses the recent machine learning library and application 'Corels' providing optimal yet easily interpretable rule lists ... Read More >
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Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
We use a novel modification of Multi-Armed Bandits to create a new model for recommendation systems. We model the recommendation system as a bandit seeking to maximize reward by pulling on arms with unknown rewards. The catch ho ... Read More >
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Analysis of the fiber laydown quality in spunbond processes with simulation expe ...
We present a simulation framework for spunbond processes and use a design of experiments to investigate the cause-and-effect-relations of process and material parameters onto the fiber laydown on a conveyor belt. The virtual exp ... Read More >
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Uncertainty Quantification in Ensembles of Honest Regression Trees using General ...
Due to their accuracies, methods based on ensembles of regression trees are a popular approach for making predictions. Some common examples include Bayesian additive regression trees, boosting and random forests. This paper focu ... Read More >
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Optimal designs for third-order interactions in paired comparison experiments
It is shown how by not losing information on higher order interactions, optimal paired comparison designs involving alternatives of either full or partial profiles to reduce information overload as frequently encountered in appl ... Read More >
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Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model
The hazard of pluvial flooding is largely influenced by the spatial and temporal dependence characteristics of precipitation. When extreme precipitation possesses strong spatial dependence, the risk of flooding is amplified due ... Read More >