Time Series Analysis

Time Series Analysis | 5 Articles

How a Deep Neural Network Contributes to Learning Causal Graph and Forecasting Political Dynamics

Seo Eun Yang (Ohio State University)

Abstract: Nonlinearity has been considerably interested in time series analysis of conflict/opinion dynamics. However, handling unknown nonlinear...

Flávio Souza (Texas A&M University)

Abstract: Error correction modeling (ECM) is a common time-series strategy when both dependent and independent variables contain a unit root and are...

Seo-young Silvia Kim (California Institute of Technology)

Abstract: What events motivate individual campaign contributions? Using the 2016 campaign finance data from the Federal Election...

Andrea Junqueira (Texas A&M University), Ali Kagalwala (Texas A&M University), Andrew Philips (University of Colorado Boulder) and Guy Whitten (Texas A&M University)

Abstract: In...

Ryden Butler (Washington University in St. Louis)

Abstract: Considerable research indicates that politicians adapt their rhetoric in order to appeal to the preferences of their...

Time Series Analysis

How a Deep Neural Network Contributes to Learning Causal Graph and Forecasting Political Dynamics

Seo Eun Yang (Ohio State University)

Multiplicative Interactions in Error Correction Models

Flávio Souza (Texas A&M University)

Donation Dynamics: Do Critical Campaign Events Influence Contributions?

Seo-young Silvia Kim (California Institute of Technology)

New Frontiers in Dynamic Pie Modeling

Andrea Junqueira (Texas A&M University), Ali Kagalwala (Texas A&M University), Andrew Philips (University of Colorado Boulder) and Guy Whitten (Texas A&M University)

Learning From Likes: The Effect of Social Engagement Feedback on Politicians' Social Media Communications

Ryden Butler (Washington University in St. Louis)