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High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor
  Model
v1v2v3v4v5v6v7 (latest)

High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model

23 April 2018
Liao Zhu
Sumanta Basu
R. Jarrow
M. Wells
ArXiv (abs)PDFHTML

Papers citing "High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model"

17 / 17 papers shown
Title
Two ways towards combining Sequential Neural Network and Statistical
  Methods to Improve the Prediction of Time Series
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series
Jingwei Li
AI4TS
76
2
0
30 Sep 2021
The Adaptive Multi-Factor Model and the Financial Market
The Adaptive Multi-Factor Model and the Financial Market
Liao Zhu
30
13
0
30 Jul 2021
Clustering Structure of Microstructure Measures
Clustering Structure of Microstructure Measures
Liao Zhu
Ningning Sun
M. Wells
45
14
0
05 Jul 2021
A News-based Machine Learning Model for Adaptive Asset Pricing
A News-based Machine Learning Model for Adaptive Asset Pricing
Liao Zhu
Haoxuan Wu
M. Wells
AIFin
50
12
0
13 Jun 2021
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model
Time-Invariance Coefficients Tests with the Adaptive Multi-Factor Model
Liao Zhu
R. Jarrow
M. Wells
28
14
0
09 Nov 2020
Speculative Container Scheduling for Deep Learning Applications in a
  Kubernetes Cluster
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster
Ying Mao
Yuqi Fu
Wenjia Zheng
Long Cheng
Qingzhi Liu
Dingwen Tao
53
30
0
21 Oct 2020
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian
  Copula
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula
Yuxuan Zhao
Madeleine Udell
97
23
0
18 Jun 2020
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang
Yuling Yan
Mateo Díaz
39
13
0
22 Mar 2020
FrequentNet: A Novel Interpretable Deep Learning Model for Image
  Classification
FrequentNet: A Novel Interpretable Deep Learning Model for Image Classification
Yifei Li
Kuangyan Song
Yiming Sun
Liao Zhu
VLMFAtt
52
10
0
04 Jan 2020
In Defense of the Indefensible: A Very Naive Approach to
  High-Dimensional Inference
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference
Sen Zhao
Daniela Witten
Ali Shojaie
82
58
0
16 May 2017
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and
  Control
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control
A. PrashanthL.
Cheng Jie
Michael Fu
Steve Marcus
Csaba Szepesvári
66
91
0
08 Jun 2015
Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard
Andrea Montanari
243
768
0
13 Jun 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
207
1,131
0
03 Mar 2013
How Correlations Influence Lasso Prediction
How Correlations Influence Lasso Prediction
Mohamed Hebiri
Johannes Lederer
114
101
0
07 Apr 2012
Pivotal estimation via square-root Lasso in nonparametric regression
Pivotal estimation via square-root Lasso in nonparametric regression
A. Belloni
Victor Chernozhukov
Lie Wang
194
152
0
07 May 2011
Strong rules for discarding predictors in lasso-type problems
Strong rules for discarding predictors in lasso-type problems
Robert Tibshirani
Jacob Bien
J. Friedman
Trevor Hastie
N. Simon
Jonathan E. Taylor
Robert Tibshirani
192
642
0
09 Nov 2010
Control of generalized error rates in multiple testing
Control of generalized error rates in multiple testing
Joseph P. Romano
Michael Wolf
103
169
0
11 Oct 2007
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