Robin Pemantle
Biographic Data
| ID | 4978762 |
|---|---|
| NAME | Robin Pemantle |
| GIVEN NAMES | Robin |
| FAMILY NAME | Pemantle |
| SIGNATURE | PEMANTLE R |
| AFFILIATIONS | University of Pennsylvania |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 34 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 2 |
The Perils of Balance Testing in Experimental Design
Widespread concern over the credibility of published results has led to scrutiny of statistical practices. We address one aspect of this problem that stems from the use of balance tests in conjunction with experimental data. When random assignment is botched, due either to mistakes in implementation or differential attrition, balance tests can be an important tool in determining whether to treat the data as observational versus experimental. Unfo…
Standards for Experimental Research
In this essay, we closely examine three aspects of the Reporting Guidelines for this journal, as described by Gerber et al. (2014, Journal of Experimental Political Science 1(1): 81–98) in the inaugural issue of the Journal of Experimental Political Science. These include manipulation checks and when the reporting of response rates is appropriate. The third, most critical, issue concerns the committee's recommendations for detecting errors in ran…
A Dynamic Model of Social Network Formation
This chapter considers a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. Individual agents begin to interact at random, with the interactions modeled as games. The game payoffs determine which interactions are reinforced, and the network structure emerges as a consequence of the dynamics of the agents’ learning behavior. The chapter studies this in a variety of g…
A Dynamic Model of Social Network Formation
Network formation by reinforcement learning
Standards for Experimental Research
In this essay, we closely examine three aspects of the Reporting Guidelines for this journal, as described by Gerber et al. (2014, Journal of Experimental Political Science 1(1): 81–98) in the inaugural issue of the Journal of Experimental Political Science. These include manipulation checks and when the reporting of response rates is appropriate. The third, most critical, issue concerns the committee's recommendations for detecting errors in ran…
Network formation by reinforcement learning
Network formation by reinforcement learning
A Dynamic Model of Social Network Formation
A Dynamic Model of Social Network Formation
This chapter considers a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. Individual agents begin to interact at random, with the interactions modeled as games. The game payoffs determine which interactions are reinforced, and the network structure emerges as a consequence of the dynamics of the agents’ learning behavior. The chapter studies this in a variety of g…
Standards for Experimental Research
In this essay, we closely examine three aspects of the Reporting Guidelines for this journal, as described by Gerber et al. (2014, Journal of Experimental Political Science 1(1): 81–98) in the inaugural issue of the Journal of Experimental Political Science. These include manipulation checks and when the reporting of response rates is appropriate. The third, most critical, issue concerns the committee's recommendations for detecting errors in ran…
The Perils of Balance Testing in Experimental Design
Widespread concern over the credibility of published results has led to scrutiny of statistical practices. We address one aspect of this problem that stems from the use of balance tests in conjunction with experimental data. When random assignment is botched, due either to mistakes in implementation or differential attrition, balance tests can be an important tool in determining whether to treat the data as observational versus experimental. Unfo…
Psychology (5 works) · Computer Science (4 works) · Mathematics (4 works) · Artificial Intelligence (3 works) · Game Theory and Applications (3 works) · Mathematical economics (3 works) · Complex network (2 works) · Complex Network Analysis Techniques (2 works) · Dynamic network analysis (2 works) · Engineering (2 works)