We usually hold research colloquia and software workshops on Fridays and Saturdays, but there may be variations. Please take note of the dates and times for the particular events.
Up-Coming Presentations and Workshops:
Monte Carlo sampling error, III Data-method simulation, two alternatives and further topics to explore more ABSTRACT Monte Carlo simulation has been used extensively for decades to study statistical methods' performance under diverse conditions. More recently, Monte Carlo techniques have begun spreading beyond quantitative methodologists to applied researchers via their wider role in planning studies (e.g., power analysis) as well as simulation estimates from computationally intensive data analyses (e.g., resampling, multiple imputation, Bayesian techniques). Because Monte Carlo results are stochastic, their sampling error may be an important source of uncertainty, especially when resource constraints permit relatively few replications. Building on two previous CRMDA talks, in this presentation I discuss ongoing investigations of strategies to quantify and control sampling error in Monte Carlo estimates of point-estimator properties (PEPs) such as (relative) bias, variance, and (root) mean squared error. After briefly reviewing the focal problem and delta-method techniques for inference about PEPs via an asymptotic variance, I first report an updated simulation study of delta-method confidence intervals (CIs) for several common PEPs. I then describe two alternatives to delta-method CIs -- random partitions of replications and nonparametric bootstrap variants -- and report preliminary simulation studies of their performance. Finally, I sketch several concepts, procedures, and issues pertaining to three of many associated topics to explore further: transforming PEP estimators to facilitate inference, planning the number of Monte Carlo replications, and more complex estimands such as comparisons or contrasts of two or more PEPs.
Abstract: If you wish to become an independent statistical consultant, you will find that the work is challenging, but also rewarding. In this talk, I will contrast working as an independent consultant to working within a large organization. I will then review the issues that you face with an independent consulting practice: business models, billing, contracts, taxes, and most importantly, how to find clients.