Suchergebnisse - c38 - 'Multiple or Simultaneous Equation Models: Classification Methods

Least Ambiguous Set-Valued Classifiers With Bounded Error Levels von Sadinle, Mauricio, Lei, Jing, Wasserman, Larry

“… In most classification tasks, there are observations that are ambiguous and therefore difficult to correctly label …”
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Deep learning for credit scoring: Do or don’t? von Gunnarsson, Björn Rafn, vanden Broucke, Seppe, Baesens, Bart, Óskarsdóttir, María, Lemahieu, Wilfried

“… •Deep learning techniques are compared to both conventional methods and ensemble methods for credit scoring …”
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An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls von Chernozhukov, Victor, Wüthrich, Kaspar, Zhu, Yinchu

“… We introduce new inference procedures for counterfactual and synthetic control methods for policy evaluation …”
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Visualization in Bayesian workflow von Gabry, Jonah, Simpson, Daniel, Vehtari, Aki, Betancourt, Michael, Gelman, Andrew

“… Practical Bayesian data analysis, like all data analysis, is an iterative process of model building, inference, model checking and evaluation, and model expansion …”
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Objectives and methods in multi-objective routing problems: a survey and classification scheme von Zajac, Sandra, Huber, Sandra

“… •We propose a classification scheme in which every identified objective is sorted into a category and related to problem elements …”
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Approximate factor models with weaker loadings von Bai, Jushan, Ng, Serena

“… Pervasive cross-section dependence is increasingly recognized as a characteristic of economic data and the approximate factor model provides a useful framework for analysis …”
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Interpretable classification models for recidivism prediction von Zeng, Jiaming, Ustun, Berk, Rudin, Cynthia

“… ) pair is a point on the receiver operator characteristic (ROC) curve. We use popular machine learning methods to create models along the full ROC curve on a wide range of recidivism prediction problems …”
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Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains von Happ, Clara, Greven, Sonja

“… Existing approaches for multivariate functional principal component analysis are restricted to data on the same one-dimensional interval. The presented …”
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Mixture Models With a Prior on the Number of Components von Miller, Jeffrey W., Harrison, Matthew T.

“… A natural Bayesian approach for mixture models with an unknown number of components is to take the usual finite mixture model with symmetric Dirichlet weights, and put a prior on the number …”
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Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data von Bai, Jushan, Ng, Serena

“… This article proposes an imputation procedure that uses the factors estimated from a tall block along with the re-rotated loadings estimated from a wide block …”
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The Standardized World Income Inequality Database von Solt, Frederick

“… the SWIID’s utility to cross-national income inequality research in light of recently available alternatives. Methods …”
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A Model of Text for Experimentation in the Social Sciences von Roberts, Margaret E., Stewart, Brandon M., Airoldi, Edoardo M.

“… Statistical models of text have become increasingly popular in statistics and computer science as a method of exploring large document collections …”
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Principal Component Analysis of High-Frequency Data von Aït-Sahalia, Yacine, Xiu, Dacheng

“… We develop the necessary methodology to conduct principal component analysis at high frequency. We construct estimators of realized eigenvalues, eigenvectors, …”
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A hierarchical consensus reaching process for group decision making with noncooperative behaviors von Tang, Ming, Liao, Huchang, Mi, Xiaomei, Lev, Benjamin, Pedrycz, Witold

“… •We propose a hierarchical consensus reaching process model.•We introduce a weight determination method for subgroups …”
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A Penalized Synthetic Control Estimator for Disaggregated Data von Abadie, Alberto, L'Hour, Jérémy

“… Synthetic control methods are commonly applied in empirical research to estimate the effects of treatments or interventions on aggregate outcomes …”
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TARGETING INTERVENTIONS IN NETWORKS von Galeotti, Andrea, Golub, Benjamin, Goyal, Sanjeev

“… We study games in which a network mediates strategic spillovers and externalities among the players. How does a planner optimally target interventions that …”
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Changepoint Detection in the Presence of Outliers von Fearnhead, Paul, Rigaill, Guillem

“… Many traditional methods for identifying changepoints can struggle in the presence of outliers, or when the noise is heavy-tailed …”
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A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification von Jiménez-Cordero, Asunción, Morales, Juan Miguel, Pineda, Salvador

“… •The efficiency of the proposed model is successfully tested on several databases. In recent years, feature selection has become a challenging problem in several machine learning fields, such as classification problems …”
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Prediction Intervals for Synthetic Control Methods von Cattaneo, Matias D., Feng, Yingjie, Titiunik, Rocio

“… Uncertainty quantification is a fundamental problem in the analysis and interpretation of synthetic control (SC) methods …”
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QUANTILE FACTOR MODELS von Chen, Liang, Dolado, Juan J., Gonzalo, Jesús

“… Quantile factor models (QFM) represent a new class of factor models for high-dimensional panel data …”
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