Blar i Brage NMBU på forfatter "Sæbø, Solve"
-
A tool for simulating multi-response linear model data
Rimal, Raju; Almøy, Trygve; Sæbø, Solve (Journal article; Peer reviewed, 2018)Data science is generating enormous amounts of data, and new and advanced analytical methods are constantly being developed to cope with the challenge of extracting information from such “big-data”. Researchers often use ... -
Adapting Statistics Education to a Cognitively Heterogeneous Student Population
Vinje, Hilde; Brovold, Helge; Almøy, Trygve; Frøslie, Kathrine Frey; Sæbø, Solve (Peer reviewed; Journal article, 2021) -
Analysis of Megavariate Data in Functional Omics
Mosleth, Ellen Færgestad; McLeod, Anette; Rud, Ida; Axelsson, Lars; Solberg, Lars Erik; Moen, Birgitte; Gilman, Krista Marie Erickson; Færgestad, Eline Mosleth; Lysenko, Artem; Rawlings, Chris; Dankel, Simon N; Mellgren, Gunnar; Barajas-Olmos, Francisco Martin; Orozco, Lorena Sofia; Sæbø, Solve; Gidskehaug, Lars; Janbu, Astrid Oust; Kohler, Achim; Martens, Harald Aagaard; Liland, Kristian Hovde (Chapter, 2020) -
Behavioral and Physiological Responses of Scandinavian Brown Bears (Ursus arctos) to Dog Hunts and Human Encounters
Le Grand, Luc; Thorsen, Neri Horntvedt; Fuchs, Boris; Evans, Alina L.; Laske, Timothy G.; Arnemo, Jon Martin; Sæbø, Solve; Støen, Ole-Gunnar (Journal article; Peer reviewed, 2019)Innovations in biologging have offered new possibilities to better understand animals in their natural environment. Biologgers can be used by researchers to measure the impact of human disturbances on wildlife and guide ... -
Brown bear (Ursus arctos) attacks resulting in human casualties in Scandinavia 1977-2016; management implications and recommendations
Støen, Ole-Gunnar; Ordiz Fernandez, Andres Avelino; Sahlén, Veronica; Arnemo, Jon Martin; Sæbø, Solve; Mattsing, Glenn; Kristofferson, magnus; Brunberg, Sven; Kindberg, Jonas; Swenson, Jon (Journal article; Peer reviewed, 2018) -
Building an in vivo anatomical atlas to close the phenomic gap in animal breeding
Gangsei, Lars Erik; Kongsro, Jørgen; Olstad, Kristin; Grindflek, Eli; Sæbø, Solve (Journal article; Peer reviewed, 2016) -
Comparison of multi-response estimation methods
Rimal, Raju; Almøy, Trygve; Sæbø, Solve (Peer reviewed; Journal article, 2020)Prediction performance does not always reflect the estimation behaviour of a method. High error in estimation may necessarily not result in high prediction error, but can lead to an unreliable prediction if test data lie ... -
Comparison of multi-response prediction methods
Rimal, Raju; Almøy, Trygve; Sæbø, Solve (Journal article; Peer reviewed, 2019)While data science is battling to extract information from the enormous explosion of data, many estimators and algorithms are being developed for better prediction. Researchers and data scientists often introduce new methods ... -
Comparison of variable selection methods in partial least squares regression
Mehmood, Tahir; Sæbø, Solve; Liland, Kristian Hovde (Peer reviewed; Journal article, 2020) -
Designing a risk-based surveillance program for Mycobacterium avium ssp. paratuberculosis in Norwegian dairy herds using multivariate statistical process control analysis
Whist, Anne C; Liland, Kristian Hovde; Jonsson, Malin E; Sæbø, Solve; Sviland, Ståle; Østerås, Olav; Norström, Madelaine; Hopp, Petter (Journal article; Peer reviewed, 2014)Surveillance programs for animal diseases are critical to early disease detection and risk estimation and to documenting a population’s disease status at a given time. The aim of this study was to describe a risk-based ... -
Distribution based truncation for variable selection in subspace methods for multivariate regression
Liland, Kristian Hovde; Høy, Martin; Martens, Harald; Sæbø, Solve (Journal article; Peer reviewed, 2013)Analysis of data containing a vast number of features, but only a limited number of informative ones, requires methods that can separate true signal from noise variables. One class of methods attempting this is the sparse ... -
Does academia disfavor contextual and extraverted students
Sæbø, Solve; Almøy, Trygve; Brovold, Helge (Journal article; Peer reviewed, 2015)In a study conducted at Norwegian University of Life Sciences (NMBU) 288 students volunteered to answer an electronic questionnaire constructed to classify their personality type (16 categories), their work habits and ... -
Estimation of noise variance with dimension-reducing regression methods
Skodvin, Siri Nærland (Master thesis, 2018)The focus of this thesis has been on investigating the performance of some estimators of the noise variance using the dimension-reducing methods PCR, PLSR and a recently developed Bayesian method, Bayes PLS, through a ... -
Exploration of multi-response multivariate methods
Rimal, Raju (PhD Thesis;2019:76, Doctoral thesis, 2019)A linear regression model defines a linear relationship between two or more random variables. The random variables that depend on other random variables are often called response variables and the independent random variables ... -
Knowledge-based methods handling complex dependency structures : applications to gene expression data
Dørum, Guro (PhD Thesis;2011:46, Doctoral thesis, 2011)Microarray gene expression data are usually associated with a large number of correlated variables measured on few samples. This type of data typically contain high levels of noise, and the biological signals may be difficult ... -
Linear multiresponse models : theoretical developments and applications in porcine
Gangsei, Lars Erik (PhD Thesis;2016:34, Doctoral thesis, 2018-05-03)The main topic of this PhD–thesis is how to minimize the prediction error for multi–response linear regression models. Two different applications are analysed, (i) bivariate response with missing data and (ii) image analysis ... -
Multi-block methods for investigating consumer acceptance of food
Menichelli, Elena (PhD Thesis;2013:67, Doctoral thesis, 2013)Today's researchers easily gather large amounts of data of different origin and type. In sensory and consumer studies the objective is the collection of data to better understand consumer behavior in the market. Statistical ... -
Multivariate analysis as a tool for understanding and reducing complexity of mathematical models in systems biology
Isaeva, Julia (PhD Thesis;2011:34, Doctoral thesis, 2011)In the area of systems biology, technologies develop very fast, which allows us to collect massive amounts of various data. The main interest of scientists is to receive an insight into the obtained data sets and discover ... -
Prediction precision for lean meat percentage in Norwegian pig carcasses using ‘Hennessy grading probe 7’: Evaluation of methods emphasized at exploiting additional information from computed tomography
Gangsei, Lars Erik; Kongsro, Jørgen; Olsen, Eli Vibeke; Røe, Morten; Alvseike, Ole; Sæbø, Solve (Journal article; Peer reviewed, 2016) -
Student's learning preferences and perception of mathematics : how different cognitive types view contrasting approaches to statistics education
Gjefle, Mina Therese (Master thesis, 2022)The Big-Four is a popular typology used to assess behavior through categorical means, and it’s four dichotomous dimensions have been found to associate with the cognitive patterns of individuals. Analyses have found that ...