Výsledky vyhledávání - c38 - 'Multiple OR Simultaneous Equation Models: Classification Methods

Least Ambiguous Set-Valued Classifiers With Bounded Error Levels Autor 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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Objectives and methods in multi-objective routing problems: a survey and classification scheme Autor 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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Interpretable classification models for recidivism prediction Autor 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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An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls Autor Chernozhukov, Victor, Wüthrich, Kaspar, Zhu, Yinchu

“…We introduce new inference procedures for counterfactual and synthetic control methods for policy evaluation…”
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Deep learning for credit scoring: Do or don’t? Autor 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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Approximate factor models with weaker loadings Autor 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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Visualization in Bayesian workflow Autor 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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Mixture Models With a Prior on the Number of Components Autor 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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Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains Autor 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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A Model of Text for Experimentation in the Social Sciences Autor 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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Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data Autor 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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A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification Autor 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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Principal Component Analysis of High-Frequency Data Autor 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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The Standardized World Income Inequality Database Autor Solt, Frederick

“… the SWIID’s utility to cross-national income inequality research in light of recently available alternatives. Methods…”
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A Penalized Synthetic Control Estimator for Disaggregated Data Autor 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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Changepoint Detection in the Presence of Outliers Autor 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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QUANTILE FACTOR MODELS Autor 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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Prediction Intervals for Synthetic Control Methods Autor 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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TARGETING INTERVENTIONS IN NETWORKS Autor 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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A hierarchical consensus reaching process for group decision making with noncooperative behaviors Autor 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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