output
20192025
most citedA gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder

9 citations

5 papers

stat.AP2025★ 3 cited

Adding smoothing splines to the SAM model improves stock assessment

Silius M. Vandeskog, Magne Aldrin, Daniel Howell +1

The stock assessment model SAM contains a large number of age-dependent parameters that must be manually grouped together to obtain robust inference. This can make the model select…

stat.CO2022★ 9 cited

A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder

Timothée Bacri, Geir D. Berentsen, Jan Bulla +1

A very common way to estimate the parameters of a hidden Markov model (HMM) is the relatively straightforward computation of maximum likelihood (ML) estimates. For this task, most…

eess.SP2021★ 6 cited

Quantitative processing of broadband data as implemented in a scientific splitbeam echosounder

Lars Nonboe Andersen, Dezhang Chu, Harald Heimvoll +3

The use of quantitative broadband echosounders for biological studies and surveys offers considerable advantages over narrowband echosounders. These include improved spectral-based…

cs.CV2019★ 3 cited

Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård +5

Our understanding and ability to effectively monitor and manage coastal ecosystems are severely limited by observation methods. Automatic recognition of species in natural environm…

q-bio.GN2019★ 3 cited

Using sequencing coverage statistics to identify sex chromosomes in minke whales

Ketil Malde, Rasmus Skern, Kevin A. Glover

The ever-increasing number of genome sequencing and resequencing projects is a central source of insights into the ecology and evolution of non-model organisms. An important aspect…