[HTML][HTML] Wildlife Tourism and Climate Change: Perspectives on Maasai Mara National Reserve
The impact of climate change on nature-based tourism is gaining significance. This study
evaluated the impacts of climate change and tourism stakeholders' perspectives on the …
evaluated the impacts of climate change and tourism stakeholders' perspectives on the …
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models
Hierarchical data analysis is crucial in various fields for making discoveries. The linear
mixed model is often used for training hierarchical data, but its parameter estimation is …
mixed model is often used for training hierarchical data, but its parameter estimation is …
Unconditional Quantile Regression for Streaming Datasets
R Jiang, K Yu - Journal of Business & Economic Statistics, 2024 - Taylor & Francis
Abstract The Unconditional Quantile Regression (UQR) method, initially introduced by Firpo
et al. has gained significant traction as a popular approach for modeling and analyzing data …
et al. has gained significant traction as a popular approach for modeling and analyzing data …
Nonparametric Additive Models for Billion Observations
The nonparametric additive model (NAM) is a widely used nonparametric regression
method. Nevertheless, due to the high computational burden, classic statistical techniques …
method. Nevertheless, due to the high computational burden, classic statistical techniques …
Optimal Subsampling for Data Streams with Measurement Constrained Categorical Responses
High-velocity, large-scale data streams have become pervasive. Frequently, the associated
labels for such data prove costly to measure and are not always available upfront …
labels for such data prove costly to measure and are not always available upfront …
An Efficient Filtering Approach for Model Estimation in Sparse Regression
Y Wei, W Myers, X Deng - … Analysis and Data Mining: The ASA …, 2024 - Wiley Online Library
As technology advances, the scale of data generated is growing exponentially, bringing
huge challenges to data storage and computation. To facilitate the computational cost while …
huge challenges to data storage and computation. To facilitate the computational cost while …
Low-Energy Data Aggregation via Autoregressive Modeling of Time Series
S Goswami, M Joshi, A Saha - 2024 International Conference …, 2024 - ieeexplore.ieee.org
This paper affords a singular technique to low-energy information aggregation via
autoregressive modeling of time series information. We remember a dataset such as diverse …
autoregressive modeling of time series information. We remember a dataset such as diverse …