Search for dissertations about: "Regression Trees"

Showing result 1 - 5 of 19 swedish dissertations containing the words Regression Trees.

2. 1. Biodiversity in fragmented boreal forests : assessing the past, the present and the future

   Author : Håkan Berglund; Bengt Gunnar Jonsson; Jari Kouki; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Ecology; bryophytes; CWD; edge effects; fragmentation; fungi; habitat destruction; historical records; indicator; lichens; regression; species-area relationship; value pyramids; woody debris; Ekologi; Terrestrial; freshwater and marine ecology; Terrestisk; limnisk och marin ekologi; ekologisk botanik; Ecological Botany;

   Abstract : The aims of this thesis are to (1) analyze the predictability (indicators) of plant and fungal species diversity in old-growth forests, and (2) assess the history and biodiversity of woodland key habitats (WKHs) and their potential to maintain species diversity in fragmented boreal forest landscapes. Predictability was explored in Granlandet nature reserve, an unexploited landscape composed of discrete old-growth Picea forest patches of varying size isolated by wetland, reflecting conditions of insular biota at stochastic equilibrium. READ MORE

4. 2. Economic Implications of Corporate Social Responsibility and Responsible Investments

   Author : Cristiana Manescu; Göteborgs universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Corporate Social Responsibility; Strategic CSR; Socially Responsible Investments; Sustainability; Firm Profitability; Stock Returns; Statistical Learning Techniques; Variable Selection; Smooth Splines; Regression Trees; Data Envelopment Analysis; Difference-GMM; Risk-Factor Test; Market Efficiency; Control Functions Approach.;

   Abstract : Paper 1 (with Catalin Starica): This study conducts an in-depth analysis of the association between a unique ten-dimensional set of Corporate Social Responsibility (CSR) scores and firm profitability, as measured by Return on Assets (ROA). We find that non-linear (semi or non-parametric) regression methods bring important improvements in explaining profitability relative to a classical linear approach. READ MORE

5. 3. Edge correction and regression models for quantifying single-tree influence on understory vegetation

   Author : Sharon Kühlmann-Berenzon; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; beta distribution; ecology; edge effects; forestry; influence potential; logistic regression; statistical modeling; spatial point process; statistical modeling;

   Abstract : The understory is the layer of vegetation in the forest situated under the canopies of the trees. Some species of understory vegetation benefit from the surrounding trees, e.g by the provided nutrients, while others are restricted, e.g. READ MORE

6. 4. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms

   Author : Othmane Mazhar; Boualem Djehiche; Munther Dahleh; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Time series; Non-asymptotic estimation; Minimax; Change point detection; Hidden Markov model; State space model; Least square; Penalized Regression; Random covariance matrix; Concentration inequality; Chaining integral; Self-normalized martingale inequality; Cramér-Rao inequality; van Trees inequality; Matematisk statistik; Mathematical Statistics;

   Abstract : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. READ MORE

7. 5. Medical knowledge extraction : application of data analysis methods to support clinical decisions

   Author : Ankica Babic; Linköpings universitet; []
   Keywords : knowledge extraction; multivariate statistics; inductive learning; rough sets; non-specified liver diseases; decision support; MEDICINE; MEDICIN;

   Abstract : In building computer based clinical decision support extensive data analysis is sought to acquire all the medical knowledge needed to formulate the decision rules.This study explores, compares and discusses several approaches to knowledge extraction from medical data. READ MORE