Econometrics and Statistics

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Econometrics and Statistics 23 records found Search took 0.13 seconds. 
1.

In this paper, we introduce a statistical method for examining and adjusting chemical-transport models. We illustrate the findings with total column ozone predictions, [...]

21 February 2006 | Econometrics and Statistics | Article |
2.
Trajectory inference methods are essential for analyzing the developmental paths of cells in single-cell sequencing datasets. It provides insights into cellular different [...]
03 September 2024 | Econometrics and Statistics; Physical Sciences; Statistics | Article |
3.
We propose a novel approach for time series forecasting with many predictors, referred to as the GO-sdPCA, in this paper. The approach employs a variable selection method [...]
26 July 2024 | Econometrics and Statistics | Article |
4.
Covariate distribution shifts and adversarial perturbations present robustness challenges to the conventional statistical learning framework: mild shifts in the test cova [...]
24 May 2024 | Econometrics and Statistics | Article |
5.
Opinion summarization and sentiment classification are key processes for understanding, analyzing, and leveraging information from customer opinions. The rapid and ceasel [...]
20 April 2024 | Econometrics and Statistics | Article |
6.
In this article, we introduce a package, ddml, for double/debiased machine learning in Stata. Estimators of causal parameters for five different econometric models are su [...]
19 March 2024 | Econometrics and Statistics; Kenneth C. Griffin Department of Economics | Article |
7.
Contains the code and datasets necessary to replicate all figures and tables in the paper.

Note: One dataset on the "Gaokao experiment" (Section 6.2 of main [...]

11 September 2023 | Econometrics and Statistics | Dataset |
8.
Measuring the effect of peers on individuals' outcomes is a challenging problem, in part because individuals often select peers who are similar in both observable and uno [...]
19 March 2024 | Econometrics and Statistics | Article |
9.
10.
The pystacked command implements stacked generalization (Wolpert, 1992, Neural Networks 5: 241–259) for regression and binary classification via Python’s scikit-learn [...]
21 December 2023 | Econometrics and Statistics | Article |
11.
We propose a new simulation-based estimation method, adversarial estimation, for structural models. The estimator is formulated as the solution to a minimax problem betwe [...]
07 December 2023 | Econometrics and Statistics | Article |
12.
In the field of artificial intelligence, a combination of scale in data and model capacity enabled by unsupervised learning has led to major advances in representation le [...]
05 April 2021 | Econometrics and Statistics | Article |
13.
This paper briefly reviews the recent research in matrix-variate time series analysis, discusses some new developments, especially for seasonal time series, and demonstra [...]
02 November 2023 | Econometrics and Statistics | Article |
14.
A security price volatility estimator that is capable of accurately estimating price volatility in real-time or near real-time, and in low noise and high noise environmen [...]
27 August 2020 | Econometrics and Statistics | Patent |
15.
Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodimen [...]
24 September 2020 | Econometrics and Statistics | Patent |
16.
We propose a neural network-based approach to calculate the value of a chess square–piece combination. Our model takes a triplet (color, piece, square) as the input and [...]
24 September 2023 | Econometrics and Statistics | Article |
17.
Human disease studies using DNA microarrays in both clinical/observational and experimental/controlled studies are having increasing impact on our understanding of the co [...]
19 February 2009 | Econometrics and Statistics | Article |
18.
Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodimen [...]
04 October 2022 | Econometrics and Statistics | Patent |
19.
In this paper, we propose deep partial least squares for the estimation of high-dimensional nonlinear instrumental variable regression. As a precursor to a flexible deep [...]
19 June 2023 | Econometrics and Statistics | Article |
20.
Factor models have been widely used in recent years to model high-dimensional spatio-temporal data. However, the validity of employing factor models in a specific applica [...]
14 June 2023 | Econometrics and Statistics | Article |
21.
We study nonlinear optimization problems with a stochastic objective and deterministic equality and inequality constraints, which emerge in numerous applications includin [...]
02 March 2023 | Econometrics and Statistics | Article |
22.
We propose a computationally efficient method to construct nonparametric, heteroscedastic prediction bands for uncertainty quantification, with or without any user-specif [...]
19 August 2022 | Econometrics and Statistics | Article |
23.

Graphs representing complex systems often share a partial underlying structure across domains while retaining individual features. Thus, identifying common structures [...]

06 April 2022 | Econometrics and Statistics | Article |

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