K. Dučinskas

发表

Supervised Classification of the Scalar Gaussian Random Field Observations under a Deterministic Spatial Sampling Design

K. Dučinskas, L. Dreiziene, 2016 .

OPTIMAL SAMPLING DESIGN FOR THE GLS ESTIMATORS OF THE MEAN PARAMETERS FOR THE STATIONARY SPATIAL RANDOM PROCESS

K. Dučinskas, I. Borisenko, 2009 .

Application of Bayes Discriminant Functions to Classification of the Spatial Multivariate Gaussian Data

K. Dučinskas, L. Dreiziene, 2011 .

Error rates in classification of multivariate Gaussian random field observation

K. Dučinskas, 2011 .

Can visitors visually distinguish successive coastal landscapes? A case study from the Curonian Spit (Lithuania)

K. Dučinskas, R. Povilanskas, D. Baziuke, 2016 .

Nonparametric test for spatial geometric anisotropy

K. Dučinskas, L. Dreiziene, 2010 .

The Effect of Spatial Autocorrelation on the Error Rates of the Linear Discriminant Functions

K. Dučinskas, J. Saltyte, 2002 .

A simple approach for statistical modelling of ice phenomena in the Curonian Lagoon, the south-eastern Baltic Sea

K. Myrberg, I. Dailidienė, K. Dučinskas, 2015 .

Statistical Classification of the Observation of Nuggetless Spatial Gaussian Process with Unknown Sill Parameter

K. Dučinskas, 2009 .

Risks of Classification of the Gaussian Markov Random Field Observations

K. Dučinskas, L. Dreiziene, 2018, Journal of Classification.

Discriminant analysis of environmental data based on zero inflated spatial auto-beta models

K. Dučinskas, E. Zikarienė, 2022, Spatial Statistics.

Multiclass classification of the scalar Gaussian random field observation with known spatial correlation function

K. Dučinskas, L. Dreiziene, E. Zikarienė, 2015 .

Correct Classification Rates in Multi-Category Discriminant Analysis of Spatial Gaussian Data

K. Dučinskas, L. Dreiziene, Laura Paulionienė, 2015 .

An asymptotic analysis of the regret risk in discriminant analysis under various training schemes

K. Dučinskas, 1997 .

Comparison of spatial linear mixed models for ecological data based on the correct classification rates

K. Dučinskas, L. Dreiziene, 2020 .

Comparison of two estimators of mean function in LDA of spatially correlated Gaussian data

K. Dučinskas, J. Saltyte, 2002 .

Comparison of ML and OLS Estimators in Discriminant Analysis of Spatially Correlated Observations

Kestutis Ducinskas, Jurate Saltyte, K. Dučinskas, 2002, Informatica.

Quadratic Discriminant Analysis of Spatially Correlated Data

K. Dučinskas, J. Saltyte, 2001 .

Shifting dune types of the Curonian Spit and factors of their development.

A. Armaitienė, J. Taminskas, K. Dučinskas, 2011 .

Expected Bayes Error Rate in Supervised Classification of Spatial Gaussian Data

Kestutis Ducinskas, Lijana Stabingiene, K. Dučinskas, 2011, Informatica.

Systems Approach to Eastern Baltic Coastal Zone Management

R. Ernsteins, H. Tõnisson, K. Dučinskas, 2020, Water.

Statistical classification based on observations of random Gaussian fields

K. Dučinskas, J. Saltyte, 1999 .

Approximation of the expected error rate in classification of the Gaussian random field observations

K. Dučinskas, Ke stutis Ducinskas, 2009 .

Linear Discriminant Analysis of Multivariate Spatial–Temporal Regressions

K. Dučinskas, J. Saltyte-Benth, 2005 .

Second-order expansion for the expected regret risk in classification of one-parametric distributions

K. Dučinskas, 1999 .

Actual Error Rates in Classification of the T-Distributed Random Field Observation Based on Plug-in Linear Discriminant Function

Kestutis Ducinskas, Egle Zikariene, K. Dučinskas, 2015, Informatica.