SCI, SSCI ve AHCI İndekslerine Giren Dergilerde Yayınlanan Makaleler
Function-on-Function Partial Quantile Regression
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS
, cilt.27, sa.1, ss.149-174, 2022 (SCI-Expanded)
A comparison of parameter estimation in function-on-function regression
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
, cilt.51, sa.8, ss.4607-4637, 2022 (SCI-Expanded)
Functional linear models for interval-valued data
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
, cilt.51, sa.7, ss.3513-3532, 2022 (SCI-Expanded)
Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
, cilt.14, sa.1, ss.70-89, 2020 (SCI-Expanded)
Forecasting functional time series using weighted likelihood methodology
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
, cilt.89, sa.16, ss.3046-3060, 2019 (SCI-Expanded)
Construction of functional data analysis modeling strategy for global solar radiation prediction: application of cross-station paradigm
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
, cilt.13, sa.1, ss.1165-1181, 2019 (SCI-Expanded)
Sufficient m-out-of-n (m/n) bootstrap
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
, cilt.87, sa.9, ss.1742-1753, 2017 (SCI-Expanded)
New block bootstrap methods: Sufficient and/or ordered
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
, cilt.46, sa.5, ss.3942-3951, 2017 (SCI-Expanded)
Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
, cilt.43, sa.9, ss.2047-2060, 2014 (SCI-Expanded)
Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
, cilt.42, sa.6, ss.1256-1267, 2013 (SCI-Expanded)
Diğer Dergilerde Yayınlanan Makaleler
On block bootstrapping for autoregressive time series models
International Journal of Mathematics and Computation
, cilt.30, sa.2, ss.62-75, 2019 (Hakemli Dergi)
Iterated sufficient m-out-of-n (m/n) bootstrap for non-regular smooth function models
Journal of Data Science
, cilt.16, sa.3, ss.593-604, 2018 (Hakemli Dergi)
Hakemli Kongre / Sempozyum Bildiri Kitaplarında Yer Alan Yayınlar
On Function-on-function Partial Quantile Regression
V. Uluslararası Uygulamalı İstatistik Kongresi, İstanbul, Türkiye, 21 - 23 Mayıs 2024, ss.33
Robust Function-On-Function Regression: A Penalized Tau-Based Estimation Approach
V. Uluslararası Uygulamalı İstatistik Kongresi, İstanbul, Türkiye, 21 - 23 Mayıs 2024, ss.72
Locally Sparse And Robust Partial Least Squares In Scalar-on-function Regression
V. Uluslararası Uygulamalı İstatistik Kongresi, İstanbul, Türkiye, 21 - 23 Mayıs 2024, ss.68
Skaler-fonksiyon lojistik regresyon modelinin tahmini için dirençli bir kestirim yöntemi
IRSYSC2023, İstanbul, Türkiye, 2 - 05 Kasım 2023, ss.107
An overview of multivariate adaptive regression splines
IRSYSC2023, İstanbul, Türkiye, 2 - 05 Kasım 2023, ss.17-18
Robust functional quantile regression
CFE-CMStatistics 2022, London, İngiltere, 17 - 19 Aralık 2022, ss.66
On partial least squares estimation in functional regression models
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.92
A robust functional logistic regression method for classication
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.83
Robust function-on-function interaction regression
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.52
Change Point Detection in ARMA(p,q) Process and Application onHeadway Data
International Statistics Congress 2019, Muğla, Türkiye, 04 Ekim 2019, ss.732-743
On function-on-function regression: Partial least squares approach
Young Business and Industrial Statisticians Workshop on Recent Advances in Data Science and Business Analytics, İstanbul, Türkiye, 15 Eylül 2019, ss.1
A case-resampling-based bootstrap method for function-on-function regression
International Conference on Computational Methods in Applied Sciences, İstanbul, Türkiye, 15 - 20 Temmuz 2019, ss.1
Iterated Bootstrap Procedure in Individual Bioequivalence
International Conference on Applied Analysis and Mathematical Modeling, İstanbul, Türkiye, 14 Haziran 2018, ss.1
Stationary bootstrap based multi-step forecasts for unrestricted VAR models
4th International Researchers, Statisticians and Young Statisticians Congress, İzmir, Türkiye, 22 Nisan 2018, ss.1
Change point detection in vehicle time headways
4th International Researchers, Statisticians and Young Statisticians Congress, İzmir, Türkiye, 22 Nisan 2018, ss.1
Construction of Prediction Intervals for Palmer Drought Severity Index Using Bootstrap
8th Atmospheric Sciences Symposium, İstanbul, Türkiye, 01 Kasım 2017, ss.540-543
On Jackknife-after-Bootstrap Method for Dependent Data
European Network for Business and Industrial Statistics, Naples, İtalya, 15 Eylül 2017, ss.1
On Bootstrapping in Individual Bioequivalence
European Network for Business and Industrial Statistics, Naples, İtalya, 15 Eylül 2017, ss.1
Sufficient m-out-of-n (m/n) Bootstrap
The International Conference on Trends and Perspectives in Linear Statistical Inference, İstanbul, Türkiye, 15 Ağustos 2016, ss.1
A Weighted Likelihood Ratio Test for Change Point Analysis in Time Series
The International Conference on Robust Statistics ICORS2016, Geneve, İsviçre, 15 Temmuz 2016, ss.1
A New and Fast Block Bootstrap Based Prediction Intervals for GARCH Processes with Application to Exchange Rates
The International Conference on Robust Statistics ICORS2016, Geneve, İsviçre, 15 Temmuz 2016, ss.1
Robust Change Point Regression
International Conference on Information Complexity and Statistical Modeling in High Dimensions with Applications, Nevşehir, Türkiye, 15 Mayıs 2016, ss.1
Some Notes on Sufficient Bootstrapping
The International Conference on Trends and Perspectives in Linear Statistical Inference, Linköping, İsveç, 15 Ağustos 2015, ss.1
BCa–JaB Method as a Diagnostic Tool for Linear Regression Models
18th European Young Statisticians Meetings, Osijek, Hırvatistan, 15 Ağustos 2013, ss.1
Sufficient Jackknife after Bootstrap Method for Detection of Influential Observations in Linear Regression Models
8th International Symposium of Statistics, Eskişehir, Türkiye, 11 Ekim 2012, ss.77-79
Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool
The International Conference on Trends and Perspectives in Linear Statistical Inference, Poznan, Polonya, 15 Temmuz 2012, ss.1
Jackknife after bootstrap method for detection of ınfluential observations in linear regression models
New Developments in Theory and Applications of Statistics, Ankara, Türkiye, 02 Mayıs 2011, ss.158-167