National Library of Finland
Open Data and Linked Data Service
Search works, persons, organizations and subjects:
bayesilainen menetelmä
URI:
http://www.yso.fi/onto/yso/p17803
name
bayesilainen menetelmä
Works about bayesilainen menetelmä
Accident probabilities in selected areas of the Gulf of Finland
Addressing human-induced uncertainty in fisheries management :
Analysis of human and organizational factors in marine traffic risk modeling : literature review
Application of decision-analytic modelling in health economic evaluations
Approximate Bayesian inference methods for regression and classification with Gaussian processes and neural networks
Approximate Bayesian inference methods for stochastic state space models
Approximation strategies for structure learning in Bayesian networks
Assessing oil spill risks in the northern Baltic Sea with Bayesian Network applications
Bayesian analysis of SEIR epidemic models
Bayesian cluster analysis with applications to pathogen population genomics
Bayesian filtering and smoothing
Bayesian fisheries stock assessment : integrating and updating knowledge
Bayesian inference for spatio-temporal models
Bayesian latent Gaussian spatio-temporal models
Bayesian latent variable models for learning dependencies between multiple data sources
Bayesian methods for exploring structure in time series
Bayesian methods in insurance companies' risk management
Bayesian models for the reconstruction of the paleoclimate
Bayesian multi-view models for data-driven drug response analysis
Bayesian multilocus association models for prediction and mapping of genome-wide data
Bayesian Network applications for environmental risk assessment
Bayesian network modeling of potential patterns in maritime safety performance
Bayesian networks : an introduction
Bayesian spatial and temporal epidemiology of non-communicable diseases and mortality
Bayesian statistical analysis of bacterial diversity
Computational optimization methods for large-scale inverse problems
Edge-promoting priors in electrical impedance tomography
Electrical resistance tomography imaging of concrete
Embracing uncertainty in fisheries stock assessment using Bayesian hierarchical models
Hoitotyön henkilöstömitoitus ja tulos kompleksisessa erikoissairaanhoidon toimintaympäristössä =
Image reconstruction with error modelling in diffuse optical tomography
Kuka päättää geenitutkimuksiin osallistumisesta? : normatiivinen ja sosiologinen analyysi bayesilaisen menetelmän kelpoisuudesta avuksi
Learning discriminative models from structured multi-sensor data for human context recognition
Model-based decision processes for agenda building and project funding
Model-based efficiency analyses of healthcare delivery
Model-based structural damage identification using vibration measurements
Modeling of professional growth and learning : Bayesian approach
Modelling errors in electrical impedance tomography
Multivariate multi-way modelling of multiple high-dimensional data sources
Nowcasting the unemployment rate in the EU with seasonal BVAR and Google search data
On Bayesian predictive modeling : with applications on the analysis of chromatography data in forensic investigations
On model selection for Bayesian networks and sparse logistic regression
Probabilistic components of molecular interactions and drug responses
Probabilistic contact preferences in protein-ligand and protein-protein complexes
Signaali ja kohina : miksi monet ennusteet epäonnistuvat, mutta jotkin eivät
Statistical modelling of selective non-participation in health examination surveys
Statistical studies on bacterial transmission and community dynamics with a special emphasis on the colonization dynamics of Streptococcus pneumoniae during early childhood
Steps towards comprehensive Bayesian decision analysis in fisheries and environmental management
Steps towards comprehensive decision analysis in fisheries and environmental management
Structure learning of context-specific graphical models
The most probable Bayesian network and beyond
The time series convergence of dispersion in financial analysts' forecasts
Training methods for climate and neural network models
Uncertainty quantification in remote sensing of forests
Use of secondary structures in the analysis of spatial point patterns
Water quality prediction for river basin management
Download this resource as RDF:
Turtle
RDF/XML
N-Triples
JSON-LD