Výsledky vyhledávání - "Multiple or Simultaneous Equation Models: Classification Methods"

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.•This comparison is executed over a significant…”
Získat plný text

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. Set-valued classifiers output sets of…”
Získat plný text

Visualization in Bayesian workflow Autor Gabry, Jonah, Simpson, Daniel, Vehtari, Aki, Betancourt, Michael, Gelman, Andrew

“…Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains…”
Získat plný text

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. We recast the causal inference problem as a…”
Získat plný text

The Standardized World Income Inequality Database Autor Solt, Frederick

“…Objective. Since 2008, the Standardized World Income Inequality Database (SWIID) has provided income inequality data that seek to maximize comparability while…”
Získat plný text

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…”
Získat plný text

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…”
Získat plný text

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…”
Získat plný text

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.•We give a noncooperative behavior…”
Získat plný text

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,…”
Získat plný text

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…”
Získat plný text

Selective Inference for Hierarchical Clustering Autor Gao, Lucy L., Bien, Jacob, Witten, Daniela

“…Classical tests for a difference in means control the Type I error rate when the groups are defined a priori. However, when the groups are instead defined via…”
Získat plný text

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. A synthetic…”
Získat plný text

Nexus between financial development and energy poverty in Latin America Autor Mohsin, Muhammad, Taghizadeh-Hesary, Farhad, Shahbaz, Muhammad

“…This paper estimates the association of financial development with energy poverty in Latin America through the entropy method, the Principal Component Analysis…”
Získat plný text

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. Social…”
Získat plný text

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,…”
Získat plný text

The impact of sentiment and attention measures on stock market volatility Autor Audrino, Francesco, Sigrist, Fabio, Ballinari, Daniele

“…We analyze the impact of sentiment and attention variables on the stock market volatility by using a novel and extensive dataset that combines social media,…”
Získat plný text

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. Often they will infer…”
Získat plný text

Daily retail demand forecasting using machine learning with emphasis on calendric special days Autor Huber, Jakob, Stuckenschmidt, Heiner

“…Demand forecasting is an important task for retailers as it is required for various operational decisions. One key challenge is to forecast demand on special…”
Získat plný text

Objectives and methods in multi-objective routing problems: a survey and classification scheme Autor Zajac, Sandra, Huber, Sandra

“…•Our survey offers a wide overview of which application-oriented multi-objective routing problems are treated at each planning level and what kind of trade-off…”
Získat plný text