Yayınlar & Eserler

Yayın Ağı

SCI, SSCI ve AHCI İndekslerine Giren Dergilerde Yayınlanan Makaleler

Penalized function-on-function linear quantile regression

Beyaztaş U., Shang H. L., Saricam S.
COMPUTATIONAL STATISTICS , cilt.39, ss.1-29, 2024 (SCI-Expanded)

Robust functional logistic regression

Akturk B., Beyaztas U., Shang H., Mandal A.
ADVANCES IN DATA ANALYSIS AND CLASSIFICATION , 2024 (SCI-Expanded) identifier identifier

Robust function-on-function interaction regression

Beyaztaş U., Shang H. L., Mandal A.
STATISTICAL MODELLING , cilt.2023, ss.1-21, 2023 (SCI-Expanded)

Robust scalar-on-function partial quantile regression

Beyaztaş U., Tez M., Lin Shang H.
JOURNAL OF APPLIED STATISTICS , cilt.50, ss.1-19, 2023 (SCI-Expanded) identifier identifier

Robust Functional Linear Regression Models

Beyaztas U., Lin Shang H.
R JOURNAL , cilt.15, sa.1, ss.121-233, 2023 (SCI-Expanded) identifier

A robust scalar-on-function logistic regression for classification

Mutis M., Beyaztaş U., Simsek G. G., Shang H. L.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS , cilt.52, sa.23, ss.8538-8554, 2023 (SCI-Expanded) identifier identifier

On partial least-squares estimation in scalar-on-function regression models

Saricam S., Beyaztaş U., Asikgil B., Shang H. L.
JOURNAL OF CHEMOMETRICS , cilt.36, sa.12, 2022 (SCI-Expanded) identifier identifier

Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction

Bhagat S. K., Tiyasha T., Al-Khafaji Z., Laux P., Ewees A. A., Rashid T. A., et al.
COMPLEXITY , cilt.2022, ss.1-17, 2022 (SCI-Expanded) Sürdürülebilir Kalkınma identifier

A robust partial least squares approach for function-on-function regression

Beyaztaş U., Shang H. L.
BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS , cilt.36, sa.2, ss.199-219, 2022 (SCI-Expanded) identifier identifier

A robust functional partial least squares for scalar-on-multiple-function regression

BEYAZTAŞ U., Shang H. L.
JOURNAL OF CHEMOMETRICS , cilt.36, sa.4, 2022 (SCI-Expanded) identifier identifier

Function-on-Function Partial Quantile Regression

BEYAZTAŞ U., Shang H. L., ALIN A.
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS , cilt.27, sa.1, ss.149-174, 2022 (SCI-Expanded) identifier identifier

A comparison of parameter estimation in function-on-function regression

Beyaztas U., Shang H. L.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.51, sa.8, ss.4607-4637, 2022 (SCI-Expanded) Creative Commons License identifier identifier

Functional linear models for interval-valued data

Beyaztas U., Shang H. L., Abdel-Salam A. G.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.51, sa.7, ss.3513-3532, 2022 (SCI-Expanded) Creative Commons License identifier identifier

Function-on-Function Linear Quantile Regression

Beyaztaş U., Shang H. L.
MATHEMATICAL MODELLING AND ANALYSIS , cilt.27, sa.2, ss.322-341, 2022 (SCI-Expanded) identifier identifier

Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models

Beyaztas U., Shang H. L.
JOURNAL OF APPLIED STATISTICS , cilt.49, sa.5, ss.1179-1202, 2022 (SCI-Expanded) Creative Commons License identifier identifier identifier

Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model

Tao H., Ewees A. A., Al-Sulttani A. O., Beyaztas U., Hameed M. M., Salih S. Q., et al.
Energy Reports , cilt.7, ss.136-157, 2021 (SCI-Expanded) identifier identifier

Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model

Bhagat S. K., Pyrgaki K., Salih S. Q., Tiyasha T., BEYAZTAŞ U., Shahid S., et al.
Chemosphere , cilt.276, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier identifier

Granger causality of bivariate stationary curve time series

Shang H. L., Ji K., Beyaztas U.
JOURNAL OF FORECASTING , cilt.40, sa.4, ss.626-635, 2021 (SSCI) Creative Commons License Sürdürülebilir Kalkınma identifier identifier

A functional autoregressive model based on exogenous hydrometeorological variables for river flow prediction

BEYAZTAŞ U., Shang H. L., Yaseen Z. M.
Journal of Hydrology , cilt.598, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

A partial least squares approach for function-on-function interaction regression

Beyaztas U., Shang H. L.
COMPUTATIONAL STATISTICS , cilt.36, sa.2, ss.911-939, 2021 (SCI-Expanded) Creative Commons License identifier identifier

Prediction of dissolved oxygen, biochemical oxygen demand, and chemical oxygen demand using hydrometeorological variables: case study of Selangor River, Malaysia

Salih S. Q., Alakili I., Beyaztas U., Shahid S., Yaseen Z. M.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY , cilt.23, sa.5, ss.8027-8046, 2021 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

BLOCK BOOTSTRAP PREDICTION INTERVALS FOR GARCH PROCESSES

BEYAZTAŞ B. H., Beyaztas U.
REVSTAT-STATISTICAL JOURNAL , cilt.18, sa.4, ss.397-414, 2020 (SCI-Expanded) identifier identifier

Murine genetic models of obesity: type I error rates and the power of commonly used analyses as assessed by plasmode-based simulation

Ejima K., Brown A. W., Smith D. L., Beyaztas U., Allison D. B.
INTERNATIONAL JOURNAL OF OBESITY , cilt.44, sa.6, ss.1440-1449, 2020 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier identifier

On function-on-function regression: partial least squares approach

Beyaztas U., Shang H. L.
ENVIRONMENTAL AND ECOLOGICAL STATISTICS , cilt.27, sa.1, ss.95-114, 2020 (SCI-Expanded) Creative Commons License identifier identifier

Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models

Yaseen Z. M., Al-Juboori A. M., Beyaztas U., Al-Ansari N., Chau K., Qi C., et al.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS , cilt.14, sa.1, ss.70-89, 2020 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

Drought interval simulation using functional data analysis

Beyaztas U., Yaseen Z. M.
JOURNAL OF HYDROLOGY , cilt.579, 2019 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

Forecasting functional time series using weighted likelihood methodology

Beyaztas U., Shang H. L.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION , cilt.89, sa.16, ss.3046-3060, 2019 (SCI-Expanded) Creative Commons License identifier identifier

Assessment of individual bioequivalence using sufficient bootstrap procedure

Beyaztas U.
PHARMACEUTICAL STATISTICS , cilt.18, sa.3, ss.388-398, 2019 (SCI-Expanded) identifier identifier identifier

On Jackknife-After-Bootstrap Method for Dependent Data

Beyaztas U., BEYAZTAŞ B. H.
COMPUTATIONAL ECONOMICS , cilt.53, sa.4, ss.1613-1632, 2019 (SCI-Expanded) identifier identifier

Construction of functional data analysis modeling strategy for global solar radiation prediction: application of cross-station paradigm

Beyaztas U., Salih S. Q., Chau K., Al-Ansari N., Yaseen Z. M.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS , cilt.13, sa.1, ss.1165-1181, 2019 (SCI-Expanded) Creative Commons License Sürdürülebilir Kalkınma identifier identifier

Robust change point detection for linear regression models

Alin A., Beyaztas U., Martin M. A.
STATISTICS AND ITS INTERFACE , cilt.12, sa.2, ss.203-213, 2019 (SCI-Expanded) Creative Commons License identifier identifier

Construction of prediction intervals for Palmer Drought Severity Index using bootstrap

Beyaztas U., Arikan B. B., Beyaztas B. H., Kahya E.
JOURNAL OF HYDROLOGY , cilt.559, ss.461-470, 2018 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

Sufficient m-out-of-n (m/n) bootstrap

Alin A., Martin M. A., Beyaztas U., Pathak P. K.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION , cilt.87, sa.9, ss.1742-1753, 2017 (SCI-Expanded) identifier identifier

New block bootstrap methods: Sufficient and/or ordered

Beyaztas B. H., Firuzan E., Beyaztas U.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.46, sa.5, ss.3942-3951, 2017 (SCI-Expanded) identifier identifier

Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models

Beyaztas U., Alin A.
STATISTICAL PAPERS , cilt.55, sa.4, ss.1001-1018, 2014 (SCI-Expanded) identifier identifier

Delete-2 Jackknife-After-Bootstrap in Regression

Beyaztas U., Alin A.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL , cilt.30, sa.7, ss.993-1002, 2014 (SCI-Expanded) identifier identifier

Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

Beyaztas U., Alin A.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.43, sa.9, ss.2047-2060, 2014 (SCI-Expanded) identifier identifier

Robust BCa-JaB method as a diagnostic tool for linear regression models

Beyaztas U., Alin A., Martin M. A.
JOURNAL OF APPLIED STATISTICS , cilt.41, sa.7, ss.1593-1610, 2014 (SCI-Expanded) Sürdürülebilir Kalkınma identifier identifier

Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models

Beyaztas U., Alin A.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION , cilt.42, sa.6, ss.1256-1267, 2013 (SCI-Expanded) identifier identifier

Diğer Dergilerde Yayınlanan Makaleler

Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates

BEYAZTAŞ U., Shang H.
FORECASTING , cilt.4, sa.1, ss.394-408, 2022 (ESCI) identifier identifier

Stationary Bootstrap Based Multi-Step Forecasts forUnrestricted VAR Models

BEYAZTAŞ U., Abdel-Salam A. G.
Journal of Data Science , cilt.18, sa.4, ss.682-696, 2020 (Hakemli Dergi) identifier

On block bootstrapping for autoregressive time series models

BEYAZTAŞ B. H., BEYAZTAŞ U.
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

BEYAZTAŞ U., ALIN A., Bandyopadhyay S.
Journal of Data Science , cilt.16, sa.3, ss.593-604, 2018 (Hakemli Dergi)

Iterated bootstrap procedure in individual bioequivalence

BEYAZTAŞ U.
Communications Series A1: Mathematics and Statistics , cilt.68, sa.1, ss.583-594, 2018 (ESCI) identifier

New and Fast Block Bootstrap-Based Prediction Intervals for GARCH(1,1) Process with Application to Exchange Rates

BEYAZTAŞ B. H., BEYAZTAŞ U., Bandyopadhyay S., Huang W. M.
Sankhya A , cilt.80, sa.1, ss.168-194, 2018 (Scopus) identifier

Hakemli Kongre / Sempozyum Bildiri Kitaplarında Yer Alan Yayınlar

Robust functional quantile regression

Beyaztaş U., Tez M., Shang H. L.
CFE-CMStatistics 2022, London, İngiltere, 17 - 19 Aralık 2022, ss.66

Functional capital asset pricing model

Beyaztaş U., Ji K., Shang H. L., Wu E.
Linstat'2022, Lisbon, Portekiz, 4 - 08 Temmuz 2022, ss.21

A robust scalar-on-function partial quantile regression

Tez M., Beyaztaş U., Shang H. L.
Linstat'2022, Lisbon, Portekiz, 4 - 08 Temmuz 2022, ss.71

Machine learning-based functional time series forecasting: Application to age-specific mortality rates

Beyaztaş U., Shang H. L.
Linstat'2022, Lisbon, Portekiz, 4 - 08 Temmuz 2022, ss.28

A robust functional logistic regression method for classication

Mutiş M., Beyaztaş U., Gölbaşı Şimşek G., Shang H. L.
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.83

On partial least squares estimation in functional regression models

Sarıçam S., Beyaztaş U., Aşıkgil B., Shang H. L.
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.92

Robust function-on-function interaction regression

Beyaztaş U., Shang H. L., Mandal A.
LinStat'2020, Poznan, Polonya, 30 Ağustos - 03 Eylül 2021, ss.52

Change Point Detection in ARMA(p,q) Process and Application onHeadway Data

Hacıoğlu A., Alın A., Beyaztaş U.
International Statistics Congress 2019, Muğla, Türkiye, 04 Ekim 2019, ss.732-743

On function-on-function regression: Partial least squares approach

Beyaztaş U.
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

Beyaztaş U.
International Conference on Computational Methods in Applied Sciences, İstanbul, Türkiye, 15 - 20 Temmuz 2019, ss.1

Iterated Bootstrap Procedure in Individual Bioequivalence

Beyaztaş U.
International Conference on Applied Analysis and Mathematical Modeling, İstanbul, Türkiye, 14 Haziran 2018, ss.1

Change point detection in vehicle time headways

Alın A., Hacıoğlu A., Tanyel S., Beyaztaş U.
4th International Researchers, Statisticians and Young Statisticians Congress, İzmir, Türkiye, 22 Nisan 2018, ss.1

Stationary bootstrap based multi-step forecasts for unrestricted VAR models

Beyaztaş U.
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

Beyaztaş U.
8th Atmospheric Sciences Symposium, İstanbul, Türkiye, 01 Kasım 2017, ss.540-543 Sürdürülebilir Kalkınma

On Jackknife-after-Bootstrap Method for Dependent Data

Beyaztaş U.
European Network for Business and Industrial Statistics, Naples, İtalya, 15 Eylül 2017, ss.1

On Bootstrapping in Individual Bioequivalence

Beyaztaş U.
European Network for Business and Industrial Statistics, Naples, İtalya, 15 Eylül 2017, ss.1

Sufficient m-out-of-n (m/n) Bootstrap

Beyaztaş U.
The International Conference on Trends and Perspectives in Linear Statistical Inference, İstanbul, Türkiye, 15 Ağustos 2016, ss.1

A New and Fast Block Bootstrap Based Prediction Intervals for GARCH Processes with Application to Exchange Rates

Beyaztaş U.
The International Conference on Robust Statistics ICORS2016, Geneve, İsviçre, 15 Temmuz 2016, ss.1

A Weighted Likelihood Ratio Test for Change Point Analysis in Time Series

Beyaztaş U.
The International Conference on Robust Statistics ICORS2016, Geneve, İsviçre, 15 Temmuz 2016, ss.1

Robust Change Point Regression

Beyaztaş U.
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

Beyaztaş U.
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

Beyaztaş U.
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

Beyaztaş U.
8th International Symposium of Statistics, Eskişehir, Türkiye, 11 Ekim 2012, ss.77-79

Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

Beyaztaş U.
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

Beyaztaş U.
New Developments in Theory and Applications of Statistics, Ankara, Türkiye, 02 Mayıs 2011, ss.158-167

Metrikler

Yayın

70

Atıf (WoS)

279

H-İndeks (WoS)

9

Atıf (Scopus)

431

H-İndeks (Scopus)

10

Proje

1

Tez Danışmanlığı

4

Açık Erişim

9
BM Sürdürülebilir Kalkınma Amaçları