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William H. Aeberhard

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedThe conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation

15 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2020

Robust Estimation for Discrete-Time State Space Models

William H. Aeberhard, Eva Cantoni, Chris Field +3

State space models (SSMs) are now ubiquitous in many fields and increasingly complicated with observed and unobserved variables often interacting in non-linear fashions. The crucia…

stat.ME2019

Robust Fitting for Generalized Additive Models for Location, Scale and Shape

William H. Aeberhard, Eva Cantoni, Giampiero Marra +1

The validity of estimation and smoothing parameter selection for the wide class of generalized additive models for location, scale and shape (GAMLSS) relies on the correct specific…

stat.AP2019★ 15 cited

The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation

Ethan Lawler, Kim Whoriskey, William H. Aeberhard +2

One of the central interests of animal movement ecology is relating movement characteristics to behavioural characteristics. The traditional discrete-time statistical tool for infe…

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