LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "data models" as a keyword



Photo by jontyson from unsplash

Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects

Sign Up to like & get
recommendations! Published in 2021 at "Metrika"

DOI: 10.1007/s00184-021-00825-2

Abstract: Since the commonly available time series on micro units are typically quite short, this paper considers a different estimation of linear panel data models where the unobserved individual effects are permitted to have time-varying effects… read more here.

Keywords: panel data; data models; time varying; time ... See more keywords
Photo by lukechesser from unsplash

Next generation agricultural system data, models and knowledge products: Introduction

Sign Up to like & get
recommendations! Published in 2017 at "Agricultural Systems"

DOI: 10.1016/j.agsy.2016.09.003

Abstract: Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural… read more here.

Keywords: data models; agricultural system; models knowledge; knowledge products ... See more keywords
Photo from wikipedia

Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology

Sign Up to like & get
recommendations! Published in 2017 at "Agricultural Systems"

DOI: 10.1016/j.agsy.2016.09.017

Abstract: Agricultural modeling has long suffered from fragmentation in model implementation. Many models are developed, there is much redundancy, models are often poorly coupled, model component re-use is rare, and it is frequently difficult to apply… read more here.

Keywords: data models; information; towards new; generation ... See more keywords
Photo from archive.org

Coupling 1D modifications and 3D nuclear organization: data, models and function.

Sign Up to like & get
recommendations! Published in 2017 at "Current opinion in cell biology"

DOI: 10.1016/j.ceb.2016.12.001

Abstract: Over the past decade, advances in molecular methods have strikingly improved the resolution at which nuclear genome folding can be analyzed. This revealed a wealth of conserved features organizing the one dimensional DNA molecule into… read more here.

Keywords: organization data; data models; modifications nuclear; nuclear organization ... See more keywords
Photo by lukechesser from unsplash

Recursive Estimation in Large Panel Data Models: Theory and Practice

Sign Up to like & get
recommendations! Published in 2020 at "Journal of Econometrics"

DOI: 10.1016/j.jeconom.2020.07.055

Abstract: Bai (2009) proposes a recursive least-squares estimation method for large panel data models with unobservable interactive fixed effects, but the impact of recursion on the asymptotic properties of the least-squares estimators is not taken into… read more here.

Keywords: least squares; data models; panel data; bai 2009 ... See more keywords
Photo by lukechesser from unsplash

Incorporating biometric data in models of consumer choice

Sign Up to like & get
recommendations! Published in 2018 at "Applied Economics"

DOI: 10.1080/00036846.2018.1527460

Abstract: ABSTRACT The use of neuro-physiological data in models of consumer choice is gaining popularity. This article presents some of the benefits of using psycho-physiological data in analyzing consumer valuation and choice. Eye-tracking, facial expressions, and… read more here.

Keywords: data models; biometric data; consumer; models consumer ... See more keywords
Photo by lukechesser from unsplash

Quantile regression for panel data models with fixed effects under random censoring

Sign Up to like & get
recommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2019.1601221

Abstract: Abstract The locally weighted censored quantile regression approach is proposed for panel data models with fixed effects, which allows for random censoring. The resulting estimators are obtained by employing the fixed effects quantile regression method.… read more here.

Keywords: panel data; data models; fixed effects; quantile regression ... See more keywords
Photo by jorgefdezsalas from unsplash

The estimation of multidimensional fixed effects panel data models

Sign Up to like & get
recommendations! Published in 2018 at "Econometric Reviews"

DOI: 10.1080/07474938.2015.1032164

Abstract: ABSTRACT This article introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data,… read more here.

Keywords: panel data; data models; effects panel; estimation multidimensional ... See more keywords
Photo by jorgefdezsalas from unsplash

Estimation of fixed effects dynamic panel data models: linear differencing or conditional expectation

Sign Up to like & get
recommendations! Published in 2020 at "Econometric Reviews"

DOI: 10.1080/07474938.2020.1772571

Abstract: Abstract This note discusses the pros and cons of using the conditional mean approach of Mundlak and Chamberlain and the linear difference approach to deal with the incidental parameters issue in estimating fixed effects dynamic… read more here.

Keywords: panel data; data models; effects dynamic; dynamic panel ... See more keywords
Photo by lukechesser from unsplash

Systematic development of a data model for the blockchain-based embodied carbon (BEC) Estimator for construction

Sign Up to like & get
recommendations! Published in 2021 at "Engineering, Construction and Architectural Management"

DOI: 10.1108/ecam-02-2021-0130

Abstract: PurposeBlockchain as an emerging technology has increased the interests within various industries because of its salient features. A potential application of blockchain for embodied carbon (EC) estimating is being explored. Though there are several databases/tools… read more here.

Keywords: development; data models; bec estimator; estimator ... See more keywords
Photo from wikipedia

A Web-Based Remote Sensing Data Processing and Production System With the Unified Integration of Multi-Disciplinary Data and Models

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3021791

Abstract: The development of Earth observation and navigation technology has enriched the methods and means of remote sensing data acquisition. With the increase in the data sources, data volume and data velocity, multi-disciplinary studies can use… read more here.

Keywords: multi source; remote sensing; data models; multi disciplinary ... See more keywords