Dharini Pathmanathan
YOU?
Author Swipe
View article: Compositional Data Analysis for Modelling and Forecasting Mortality with the α-Transformation
Compositional Data Analysis for Modelling and Forecasting Mortality with the α-Transformation Open
Mortality forecasting is crucial for demographic planning and actuarial studies, especially for projecting population ageing and longevity risk. Classical approaches largely rely on extrapolative methods, such as the Lee-Carter (LC) model,…
View article: A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices
A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices Open
The heteroscedastic and volatile characteristics of stock price data have attracted the interest of researchers from various disciplines, particularly in the realm of price forecasting. The stock market’s non-stationary and volatile nature…
View article: Functional regression with randomized signatures: An application to age-specific mortality rates
Functional regression with randomized signatures: An application to age-specific mortality rates Open
We propose a novel extension of the Hyndman-Ullah (HU) model to forecast mortality rates by integrating randomized signatures, referred to as the HU model with randomized signatures (HUrs). Unlike truncated signatures, which grow exponenti…
View article: Viral diversity and seasonal variation in acute respiratory infection in patients at Teaching Hospital, Jaffna, Sri Lanka
Viral diversity and seasonal variation in acute respiratory infection in patients at Teaching Hospital, Jaffna, Sri Lanka Open
NA
View article: Compositional Data Analysis for Modelling and Forecasting Mortality with the α-Transformation
Compositional Data Analysis for Modelling and Forecasting Mortality with the α-Transformation Open
Mortality forecasting is crucial for demographic planning and actuarial studies, particularly for predicting population ageing rates and future longevity risks. Traditional approaches largely rely on extrapolative methods, such as the Lee-…
View article: Compositional data analysis for modelling and forecasting mortality using the α-transformation
Compositional data analysis for modelling and forecasting mortality using the α-transformation Open
Mortality forecasting is crucial for demographic planning and actuarial studies, especially for projecting population ageing and longevity risk. Classical approaches largely rely on extrapolative methods, such as the Lee-Carter (LC) model,…
View article: Raman spectroscopy differentiates between MPA-sensitive and resistant endometrial cancer-associated fibroblasts
Raman spectroscopy differentiates between MPA-sensitive and resistant endometrial cancer-associated fibroblasts Open
View article: Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data Open
In this article, we present the bivariate and multivariate functional Moran's I statistics and multivariate functional areal spatial principal component analysis (mfasPCA). These methods are the first of their kind in the field of multivar…
View article: Forecasting mortality rates with functional signatures
Forecasting mortality rates with functional signatures Open
This study introduces an innovative methodology for mortality forecasting, which integrates signature-based methods within the functional data framework of the Hyndman-Ullah (HU) model. This new approach, termed the Hyndman-Ullah with trun…
View article: Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews
Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews Open
View article: Raman Structural Fingerprints of Amyloid in Human Tissues
Raman Structural Fingerprints of Amyloid in Human Tissues Open
View article: Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews
Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews Open
This work proposes a functional data analysis (FDA) approach for morphometrics in classifying three shrew species (S. murinus, C. monticola and C. malayana) from Peninsular Malaysia. Functional data geometric morphometrics (FDGM) for 2D la…
View article: A Markov-switching spatio-temporal ARCH model
A Markov-switching spatio-temporal ARCH model Open
Stock market indices are volatile by nature, and sudden shocks are known to affect volatility patterns. The autoregressive conditional heteroskedasticity (ARCH) and generalized ARCH (GARCH) models neglect structural breaks triggered by sud…
View article: A three-dimensional functional data geometric morphometrics approach for exploring shape variation
A three-dimensional functional data geometric morphometrics approach for exploring shape variation Open
This research introduces a new method for analysing shape variation for 3D landmark coordinate data, called functional data geometric morphometrics (FDGM). FDGM uses functional data analysis (FDA) to treat landmark coordinates as continuou…
View article: Enhancing stock price data analysis through variants of principal component analysis
Enhancing stock price data analysis through variants of principal component analysis Open
The dataset used in the research titled "Enhancing stock price data analysis through variants of principal component analysis". It includes the daily closing prices of top 100 stocks in S&P500 from 29th March 2020 to 28th March 2023.
View article: Enhancing stock price data analysis through variants of principal component analysis
Enhancing stock price data analysis through variants of principal component analysis Open
The dataset used in the research titled "Enhancing stock price data analysis through variants of principal component analysis". It includes the daily closing prices of top 100 stocks in S&P500 from 29th March 2020 to 28th March 2023.
View article: RFE-Based Feature Selection to Improve Classification Accuracy for Morphometric Analysis of Craniodental Characters of House Rats
RFE-Based Feature Selection to Improve Classification Accuracy for Morphometric Analysis of Craniodental Characters of House Rats Open
In conventional morphometrics, researchers often collect and analyze data using large numbers of morphometric features to study the shape variation among biological organisms. Feature selection is a fundamental tool in machine learning whi…
View article: A unified approach for morphometrics and functional data analysis with machine learning for craniodental shape quantification in shrew species
A unified approach for morphometrics and functional data analysis with machine learning for craniodental shape quantification in shrew species Open
This work proposes a functional data analysis approach for morphometrics with applications in classifying three shrew species (S. murinus, C. monticola and C. malayana) based on the images. The discrete landmark data of craniodental views …
View article: Spatial Autocorrelation of Global Stock Exchanges Using Functional Areal Spatial Principal Component Analysis
Spatial Autocorrelation of Global Stock Exchanges Using Functional Areal Spatial Principal Component Analysis Open
This work focuses on functional data presenting spatial dependence. The spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was investigated using the functional Moran’s I statistic, classical princip…
View article: Images of Shrew Skulls Based on Dorsal, Jaw, Lateral and Ventral Views
Images of Shrew Skulls Based on Dorsal, Jaw, Lateral and Ventral Views Open
This folder contains three subfolders of TIFF images of the shrew skulls of Crocidura malalayana,Crocidura monticola and Suncus murinus for dorsal,jaw, lateral and ventral view. From these images, landmark coordinate data were taken using …
View article: Images of Shrew Skulls Based on Dorsal, Jaw, Lateral and Ventral Views
Images of Shrew Skulls Based on Dorsal, Jaw, Lateral and Ventral Views Open
This folder contains three subfolders of TIFF images of the shrew skulls of Crocidura malalayana,Crocidura monticola and Suncus murinus for dorsal,jaw, lateral and ventral view. From these images, landmark coordinate data were taken using …
View article: Bitcoin price fluctuation by Twitter sentiment analysis pre- and post- COVID- 19 pandemic
Bitcoin price fluctuation by Twitter sentiment analysis pre- and post- COVID- 19 pandemic Open
Cryptocurrency investment especially Bitcoin, has become favourable over recent years due to promising returns in the future. However, the movement of price is mainly speculation-based as these currencies are still new in the market. The C…
View article: Phylogenetic Relationships and Morphological Variation of Gymnures (Galericidae: Hylomys) from Genting Highlands, Pahang, Malaysia
Phylogenetic Relationships and Morphological Variation of Gymnures (Galericidae: Hylomys) from Genting Highlands, Pahang, Malaysia Open
Gymnures from the genus Hylomys are widely distributed across Sundaland and the Indochinese region. However, the relationships among its members in Peninsular Malaysia especially from Genting Highlands are still lacking. This study aims to…
View article: Forecasting the Volatility of Cryptocurrencies in the Presence of COVID-19 with the State Space Model and Kalman Filter
Forecasting the Volatility of Cryptocurrencies in the Presence of COVID-19 with the State Space Model and Kalman Filter Open
During the COVID-19 pandemic, cryptocurrency prices showed abnormal volatility that attracted the participation of many investors. Studying the behaviour of volatility for the prices of cryptocurrency is an interesting problem to be invest…
View article: Extending the GLM Framework of the Lee-Carter Model with Random Forest Recursive Feature Elimination Based Determinants of Mortality
Extending the GLM Framework of the Lee-Carter Model with Random Forest Recursive Feature Elimination Based Determinants of Mortality Open
The Lee-Carter (LC) model led to the development of many prominent mortality models. This study aims to modify the generalised linear model (GLM) (Poisson, negative binomial, and binomial) framework of the LC model by incorporating factors…
View article: Accelerated implementation of teleconsultation services for the monitoring of oral potentially malignant disorders as a result of the COVID-19 pandemic
Accelerated implementation of teleconsultation services for the monitoring of oral potentially malignant disorders as a result of the COVID-19 pandemic Open
View article: Hybrid of the Lee-Carter Model with Maximum Overlap Discrete Wavelet Transform Filters in Forecasting Mortality Rates
Hybrid of the Lee-Carter Model with Maximum Overlap Discrete Wavelet Transform Filters in Forecasting Mortality Rates Open
This study implements various, maximum overlap, discrete wavelet transform filters to model and forecast the time-dependent mortality index of the Lee-Carter model. The choice of appropriate wavelet filters is essential in effectively capt…
View article: Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues
Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues Open