activity
20142022
most citedPredicting the temporal activity patterns of new venues

29 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ML2022

Relative Probability on Finite Outcome Spaces: A Systematic Examination of its Axiomatization, Properties, and Applications

Max Sklar

This work proposes a view of probability as a relative measure rather than an absolute one. To demonstrate this concept, we focus on finite outcome spaces and develop three fundame…

stat.ML2022

Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications

Max Sklar

Given a supervised machine learning problem where the training set has been subject to a known sampling bias, how can a model be trained to fit the original dataset? We achieve thi…

cs.SI2018★ 9 cited

Cultural Investment and Urban Socio-Economic Development: A Geo-Social Network Approach

Xiao Zhou, Desislava Hristova, Anastasios Noulas +2

Being able to assess the impact of government-led investment onto socio-economic indicators in cities has long been an important target of urban planning. However, due to the lack…

cs.SI2018★ 29 cited

Predicting the temporal activity patterns of new venues

Krittika D'Silva, Anastasios Noulas, Mirco Musolesi +2

Estimating revenue and business demand of a newly opened venue is paramount as these early stages often involve critical decisions such as first rounds of staffing and resource all…

stat.ML2014★ 12 cited

Fast MLE Computation for the Dirichlet Multinomial

Max Sklar

Given a collection of categorical data, we want to find the parameters of a Dirichlet distribution which maximizes the likelihood of that data. Newton's method is typically used fo…