activity
20192026
most citedEnhancing statistical inference in psychological research via prospective and retrospective design analysis

29 citations · 52 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2026

The Quantification of Replicability

Ester Alongi, Gianmarco Altoè, Giovanni Parmigiani

What does it mean to measure the replicability of scientific results? Is it merely determining whether results are consistent across studies? Much of the existing literature on rep…

stat.ME2022★ 18 cited

Post-selection Inference in Multiverse Analysis (PIMA): an inferential framework based on the sign flipping score test

Paolo Girardi, Anna Vesely, Daniël Lakens +4

When analyzing data researchers make some decisions that are either arbitrary, based on subjective beliefs about the data generating process, or for which equally justifiable alter…

stat.ME2019★ 29 cited

Enhancing statistical inference in psychological research via prospective and retrospective design analysis

Gianmarco Altoè, Giulia Bertoldo, Claudio Zandonella Callegher +4

In the past two decades, psychological science has experienced an unprecedented replicability crisis which uncovered several issues. Among others, statistical inference is too ofte…

stat.CO2019

ssMousetrack: Analysing computerized tracking data via Bayesian state-space models in {R}

Antonio Calcagnì, Massimiliano Pastore, Gianmarco Altoè

Recent technological advances have provided new settings to enhance individual-based data collection and computerized-tracking data have became common in many behavioral and social…

stat.CO2019★ 5 cited

A Maximum Entropy Procedure to Solve Likelihood Equations

Antonio Calcagnì, Livio Finos, Gianmarco Altoè +1

In this article we provide initial findings regarding the problem of solving likelihood equations by means of a maximum entropy approach. Unlike standard procedures that require eq…