38 citations · 86 across the 22 of their papers we have counts for
22 papers
Cross-Fitted Residual Utility for Primary-Preserving Cognitive Decision Correction in Automatic Modulation Classification
Linzhuo Han, Zongyong Cui, Houbiao Li
Automatic modulation classification research has largely emphasized representation accuracy, but a cognitive receiver must also decide when heterogeneous evidence justifies overrid…
Visualizing and forecasting subnational life-table death counts: Gap forecasting methods
Han Lin Shang, Andrea Nigri
Subnational life-table death counts are highly correlated across time and space and differ by gender. While these associations are helpful in improving forecasts through joint mode…
A Beta-GAM Hidden Markov Model for Proportion Time Series
Andrea Nigri, Han Lin Shang, Marco Bonetti
We propose a hidden Markov model for univariate proportion time series taking values in (0,1), where regime switching captures latent structural changes and the emission distributi…
Conformal prediction for high-dimensional functional time series: Applications to subnational mortality
Han Lin Shang
In statistics, forecast uncertainty is often quantified using a specified statistical model, though such approaches may be vulnerable to model misspecification, selection bias, and…
Interpretable models for forecasting high-dimensional functional time series
Han Lin Shang, Cristian F. Jiménez-Varón
We study the modeling and forecasting of high-dimensional functional time series, which can be temporally dependent and cross-sectionally correlated. Central to our implementation…
A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
Andrea Nigri, Han Lin Shang, Francesco Ungolo
Separate modelling of cause specific mortality rates and their projections can yield inconsistent forecasts when the sum of deaths by cause does not match the total observed in a p…
Constructing prediction intervals for the age distribution of deaths
Han Lin Shang, Steven Haberman
We introduce a model-agnostic procedure to construct prediction intervals for the age distribution of deaths. The age distribution of deaths is an example of constrained data, whic…
Spatial Functional Deep Neural Network Model: A New Prediction Algorithm
Merve Basaran, Ufuk Beyaztas, Han Lin Shang +1
Accurate prediction of spatially dependent functional data is critical for various engineering and scientific applications. In this study, a spatial functional deep neural network…
Spatial function-on-function regression
Ufuk Beyaztas, Han Lin Shang, Gizel Bakicierler Sezer +3
We introduce a spatial function-on-function regression model to capture spatial dependencies in functional data by integrating spatial autoregressive techniques with functional pri…
Nonstationary functional time series forecasting
Han Lin Shang, Yang Yang
We propose a nonstationary functional time series forecasting method with an application to age-specific mortality rates observed over the years. The method begins by taking the fi…
Robust function-on-function interaction regression
Ufuk Beyaztas, Han Lin Shang, Abhijit Mandal
A function-on-function regression model with quadratic and interaction effects of the covariates provides a more flexible model. Despite several attempts to estimate the model's pa…
Forecasting density-valued functional panel data
Cristian F. Jiménez-Varón, Ying Sun, Han Lin Shang
We introduce a statistical method for modeling and forecasting functional panel data represented by multiple densities. Density functions are nonnegative and have a constrained int…
Function-on-function linear quantile regression
Ufuk Beyaztas, Han Lin Shang
In this study, we propose a function-on-function linear quantile regression model that allows for more than one functional predictor to establish a more flexible and robust approac…
Retiree mortality forecasting: A partial age-range or a full age-range model?
Han Lin Shang, Steven Haberman
An essential input of annuity pricing is the future retiree mortality. From observed age-specific mortality data, modeling and forecasting can be taken place in two routes. On the…
Bootstrap Prediction Bands for Functional Time Series
Efstathios Paparoditis, Han Lin Shang
A bootstrap procedure for constructing prediction bands for a stationary functional time series is proposed. The procedure exploits a general vector autoregressive representation o…
Uncovering predictability in the evolution of the WTI oil futures curve
Fearghal Kearney, Han Lin Shang
Accurately forecasting the price of oil, the world's most actively traded commodity, is of great importance to both academics and practitioners. We contribute by proposing a functi…
Mortality and life expectancy forecasting for a group of populations in developed countries: A robust multilevel functional data method
Han Lin Shang
A robust multilevel functional data method is proposed to forecast age-specific mortality rate and life expectancy for two or more populations in developed countries with high-qual…
Functional time series forecasting with dynamic updating: An application to intraday particulate matter concentration
Han Lin Shang
Environmental data often take the form of a collection of curves observed sequentially over time. An example of this includes daily pollution measurement curves describing the conc…
Mortality and life expectancy forecasting for a group of populations in developed countries: A multilevel functional data method
Han Lin Shang
A multilevel functional data method is adapted for forecasting age-specific mortality for two or more populations in developed countries with high-quality vital registration system…
Selection of the optimal Box-Cox transformation parameter for modelling and forecasting age-specific fertility
Han Lin Shang
The Box-Cox transformation can sometimes yield noticeable improvements in model simplicity, variance homogeneity and precision of estimation, such as in modelling and forecasting a…
Visualising rate of change: application to age-specific fertility
Han Lin Shang
Visualisation methods help in the discovery of characteristics that might not have been apparent using mathematical models and summary statistics. However, visualisation methods ha…
Bayesian bandwidth estimation for a nonparametric functional regression model with mixed types of regressors and unknown error density
Han Lin Shang
We investigate the issue of bandwidth estimation in a nonparametric functional regression model with function-valued, continuous real-valued and discrete-valued regressors under th…