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Researchers use machine learning algorithm to analyze consumer data（图）
machine learning algorithm analyze consumer data
2020/6/19
With electric vehicles making their way into the mainstream, building out the nationwide network of charging stations to keep them going will be increasingly important.Electric vehicles are considered...
URBAN MONITORING BASED ON SENTINEL-1 DATA USING PERMANENT SCATTERER INTERFEROMETRY AND SAR TOMOGRAPHY
SAR Sentinel-1 Interferometry Persistent Scatterer Interferometry SAR tomography inter-comparison
2018/5/11
A lot of research and development has been devoted to the exploitation of satellite SAR images for deformation measurement and monitoring purposes since Differential Interferometric Synthetic Apertura...
2017年金融数学与金融数据处理研讨会（Workshop on Mathematical Finance and Financial Data Processing）
2017年 金融数学与金融数据处理 研讨会
2017/2/15
由曲阜师范大学统计学院承办的“2017年金融数学与金融数据处理研讨会”初步定于2017 年3月31日至4月2日在曲阜师范大学（山东曲阜）举行。本次会议旨在探讨金融数学与金融数据处理的最新学术动态和前沿信息，交流最新的研究成果，给广大青年学者和金融业界人士一个交流沟通合作的平台。
Estimating the Value-at-Risk from High-frequency Data
Data augmentation Gibbs sampler Quadratic variation Time changed Brownian motion
2016/1/27
We present two alternative approaches for estimating VaR. Both approaches are based on the observation that each trading day is very diverse and we can observe K different phases of the trading day. W...
Panel data models with spatially correlated error components
Panel data model Spatial model Error component model
2015/9/24
In this paper we consider a panel data model with error components that are both spatially andtime-wise correlated. The model blends specifications typically considered in the spatial literaturewith t...
Spatial models with spatially lagged dependent variables and incomplete data
Spatial models Missing data Instrumental variable estimation
2015/9/24
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent variables, and an inco...
Identifying Reticent Respondents:Assessing the Quality of Survey Data on Corruption and Values
Identifying Reticent Respondents Corruption and Values
2015/9/22
Accurate measurement of corruption and values is of immense importance.Researchers use corruption measurements to examine the determinants of growth, investment, resource allocation, health, and educa...
Assessing the Ability of Matching to Address Attrition Bias in a Randomized Experiment using Data from the Rand Health Insurance Experiment
Matching to Address Attrition Bias Randomized Experiment Rand Health Insurance Experiment
2015/9/18
It is well known that non-random attrition can lead to bias in estimating treatmenteffects from a social experiment that is based on random assignment. If the randomized intervention suffers from non-...
Exploring Differences in Employment between Household and Establishment Data
Household Establishment Data
2015/9/18
Using a large data set that links individual Current Population
Survey 餋PS?records to employer-reported administrative data,
we document substantial discrepancies in basic measures of employment
st...
Analysis of Daily Retail Sales Data during the Financial Panic of 2008
Daily Retail Sales Financial Panic
2015/8/3
Quarterly and monthly data on U.S. personal consumption expenditures show a severe
decline in consumer spending around the time of the financial panic in the fall of 2008. This
decline substantially...
Coincidence,data compression,and Mach’s concept of “economy of thought”
Coincidence data compression Mach’s concept economy of thought
2015/7/30
A case is made that Mach’s principle of “economy of thought”, and therefore usefulness, is related to the compressibility of data, but that a mathematical expression may compress data for reasons that...
Preference shocks from aggregation: time series data evidence
Aggregation shock time series data evidence
2015/7/21
Preference shocks from aggregation: time series data evidence.
Economic science has
evolved over several decades toward
greater emphasis on empirical work. The
data revolution of the past decade is likely
to have a further and profound effect on
economi...
Many believe that “big data” will transform business, government, and other
aspects of the economy. In this article we discuss how new data may impact
economic policy and economic research. Large-...
ANALYSIS OF URBAN DEVELOPMENT BY MEANS OF MULTI-TEMPORAL FRAGMENTATION METRICS FROM LULC DATA
Fragmentation Metrics Urban Change Growth Patterns
2015/5/7
The monitoring and modelling of the evolution of urban areas is increasingly attracting the attention of land managers and administration. New data, tools and methods are being developed and made av...