194 citations · 473 across the 13 of their papers we have counts for
14 papers
Embedding Positive Process Models into Lognormal Bayesian State Space Frameworks using Moment Matching
John W. Smith, Leah R. Johnson, R. Quinn Thomas
In ecology it is common for processes to be bounded based on physical constraints of the system. One common example is the positivity constraint, which applies to phenomena such as…
Assessing Ecosystem State Space Models: Identifiability and Estimation
John W. Smith, Leah R. Johnson, Robert Q. Thomas
Bayesian methods are increasingly being applied to parameterize mechanistic process models used in environmental prediction and forecasting. In particular, models describing ecosys…
Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation
Boya Zhang, Robert B. Gramacy, Leah Johnson +2
Delta smelt is an endangered fish species in the San Francisco estuary that have shown an overall population decline over the past 30 years. Researchers have developed a stochastic…
Analyzing Stochastic Computer Models: A Review with Opportunities
Evan Baker, Pierre Barbillon, Arindam Fadikar +10
In modern science, computer models are often used to understand complex phenomena, and a thriving statistical community has grown around analyzing them. This review aims to bring a…
Changing measurements or changing movements? Sampling scale and movement model identifiability across generations of biologging technology
Leah R. Johnson, Philipp H. Boersch-Supan, Richard A. Phillips +1
1. Animal movement patterns contribute to our understanding of variation in breeding success and survival of individuals, and the implications for population dynamics. 2. Over time…
Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: a dengue case study
Leah R. Johnson, Robert B. Gramacy, Jeremy Cohen +6
In 2015 the US federal government sponsored a dengue forecasting competition using historical case data from Iquitos, Peru and San Juan, Puerto Rico. Competitors were evaluated on…