Search Results - "Sæbø, Solve"
-
1
A review of variable selection methods in Partial Least Squares Regression
Published in Chemometrics and intelligent laboratory systems (15-08-2012)“…With the increasing ease of measuring multiple variables per object the importance of variable selection for data reduction and for improved interpretability…”
Get full text
Journal Article -
2
A Partial Least Squares based algorithm for parsimonious variable selection
Published in Algorithms for molecular biology (05-12-2011)“…In genomics, a commonly encountered problem is to extract a subset of variables out of a large set of explanatory variables associated with one or several…”
Get full text
Journal Article -
3
Mining for genotype-phenotype relations in Saccharomyces using partial least squares
Published in BMC bioinformatics (03-08-2011)“…Multivariate approaches are important due to their versatility and applications in many fields as it provides decisive advantages over univariate analysis in…”
Get full text
Journal Article -
4
Light traps fail to estimate reliable malaria mosquito biting rates on Bioko Island, Equatorial Guinea
Published in Malaria journal (24-02-2012)“…The human biting rate (HBR), an important parameter for assessing malaria transmission and evaluating vector control interventions, is commonly estimated by…”
Get full text
Journal Article -
5
Kin-Related Spatial Structure in Brown Bears Ursus arctos
Published in Behavioral ecology and sociobiology (01-12-2005)“…Kin-related social structure may influence reproductive success and survival and, hence, the dynamics of populations. It has been documented in many gregarious…”
Get full text
Journal Article -
6
Exploration of multivariate analysis in microbial coding sequence modeling
Published in BMC bioinformatics (14-05-2012)“…Gene finding is a complicated procedure that encapsulates algorithms for coding sequence modeling, identification of promoter regions, issues concerning…”
Get full text
Journal Article -
7
Comparison of variable selection methods in partial least squares regression
Published in Journal of chemometrics (01-06-2020)“…Through the remarkable progress in technology, it is getting easier and easier to generate vast amounts of variables from a given sample. The selection of…”
Get full text
Journal Article -
8
Development of minimal enzyme cocktails for hydrolysis of sulfite-pulped lignocellulosic biomass
Published in Journal of biotechnology (20-03-2017)“…•Development of enzyme cocktails for degradation of sulfite-pulped lignocellulose.•The cocktails degrade spruce and sugarcane bagasse at moderate enzyme…”
Get full text
Journal Article -
9
Brown bear circadian behavior reveals human environmental encroachment
Published in Biological conservation (01-05-2014)“…•Many large carnivores show behavioral plasticity in their daily movement patterns.•Whether environmental or anthropogenic cues cause such variation is not…”
Get full text
Journal Article -
10
Comparison of multi-response estimation methods
Published in Chemometrics and intelligent laboratory systems (15-10-2020)“…Prediction performance does not always reflect the estimation behaviour of a method. High error in estimation may necessarily not result in high prediction…”
Get full text
Journal Article -
11
Comparison of multi-response prediction methods
Published in Chemometrics and intelligent laboratory systems (15-07-2019)“…While data science is battling to extract information from the enormous explosion of data, many estimators and algorithms are being developed for better…”
Get full text
Journal Article -
12
Model and estimators for partial least squares regression
Published in Journal of chemometrics (01-09-2018)“…Partial least squares (PLS) regression has been a very popular method for prediction. The method can in a natural way be connected to a statistical model,…”
Get full text
Journal Article -
13
A tool for simulating multi-response linear model data
Published in Chemometrics and intelligent laboratory systems (15-05-2018)“…Data science is generating enormous amounts of data, and new and advanced analytical methods are constantly being developed to cope with the challenge of…”
Get full text
Journal Article -
14
Do bears know they are being hunted?
Published in Biological conservation (01-08-2012)“…Behavioral effects of living under predation risk may influence the dynamics of prey species more than direct demographic effects. Human recreation, especially…”
Get full text
Journal Article -
15
Brown bear (Ursus arctos) attacks resulting in human casualties in Scandinavia 1977-2016; management implications and recommendations
Published in PloS one (23-05-2018)“…Human persecution and habitat loss have endangered large carnivore populations worldwide, but some are recovering, exacerbating old conflicts. Carnivores can…”
Get full text
Journal Article -
16
Lasting behavioural responses of brown bears to experimental encounters with humans
Published in The Journal of applied ecology (01-04-2013)“…1. Some large carnivore populations are increasing in Europe and North America, and minimizing interactions between people and carnivores is a major management…”
Get full text
Journal Article -
17
Gene expression profiling of peripheral blood cells for early detection of breast cancer
Published in Breast cancer research : BCR (01-01-2010)“…Early detection of breast cancer is key to successful treatment and patient survival. We have previously reported the potential use of gene expression…”
Get full text
Journal Article -
18
Habituation, sensitization, or consistent behavioral responses? Brown bear responses after repeated approaches by humans on foot
Published in Biological conservation (01-04-2019)“…Several large carnivore populations are increasing in human-dominated landscapes, but this good conservation news includes management challenges. Because of…”
Get full text
Journal Article -
19
Inversely Density-Dependent Natal Dispersal in Brown Bears Ursus arctos
Published in Oecologia (01-06-2006)“…There is considerable controversy in the literature about the presence of density dependence in dispersal. In this study, we exploit a data series from a…”
Get full text
Journal Article -
20
Linear regression with bivariate response variable containing missing data. Strategies to increase prediction precision
Published in Communications in statistics. Simulation and computation (01-02-2022)“…In this study we focus on prediction precision for linear regression with a bivariate response variable, where the response variable of primary interest…”
Get full text
Journal Article