Kai Wang Ng

3.0k citations

64 papers · 2.0k indexed · 1 hit paper · h-index 20

Impact in

Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Management Science and Operations Research top 0.5%
- Probability and Risk Models

Papers in

Statistics and Probability 27
- Statistical Methods and Bayesian Inference 18
- Statistical Methods and Inference 12
- Statistical Distribution Estimation and Applications 9
Management Science and Operations Research 31
- Probability and Risk Models 26

Co-authors: Samuel Kotz Kai‐Tai Fang Yiqing Chen Kam Chuen Yuen Guo‐Liang Tian Man‐Lai Tang Qihe Tang Anyue Chen
Journals: Journal of Applied Probability (15 papers)Computational Statistics & Data Analysis (6 papers)Journal of Multivariate Analysis (3 papers)Probability in the Engineering and Informational Sciences (2 papers)Advances in Applied Probability (2 papers)
Partner nations: Hong Kong China United States

In The Last Decade

Kai Wang Ng

63 papers receiving 1.9k citations

Hit Papers

align trajectories log scale

Symmetric Multivariate and Related Distributions 1990 · 806 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

1990 Symmetric Multivariate and Related Distributions

Peers

Countries citing papers authored by Kai Wang Ng

Since Specialization

Citations

This map shows the geographic impact of Kai Wang Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kai Wang Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wang Ng more than expected).

Fields of papers citing papers by Kai Wang Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Wang Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Wang Ng. The network helps show where Kai Wang Ng may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kai Wang Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Wang Ng Line = papers co-authored together Kai Wang Ng links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Dirichlet and Related Distributions Wiley series in probability and statistics ·Kai Wang Ng, Guo‐Liang Tian, Man‐Lai Tang	2011	82
2	THE NESTED DIRICHLET DISTRIBUTION AND INCOMPLETE CATEGORICAL DATA ANALYSIS Statistica Sinica ·Kai Wang Ng, Man‐Lai Tang, G.W. Colvin, Ming Tan	2009	5
3	Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome Computational Statistics & Data Analysis ·Guo‐Liang Tian, Kai Wang Ng, Kaican Li, Ming Tan	2009	3
4	Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation TU Digital Collections (Thammasat University) ·Ming Tan, Guo‐Liang Tian, Kai Wang Ng	2009	27
5	ASYMPTOTICALLY EFFICIENT PRODUCT-LIMIT ESTIMATORS WITH CENSORING INDICATORS MISSING AT RANDOM Qihua Wang, Kai Wang Ng	2008	11
6	EM-type algorithms for computing restricted MLEs in multivariate normal distributions and multivariate -distributions Computational Statistics & Data Analysis ·Guo‐Liang Tian, Kai Wang Ng, Ming Tan	2008	8
7	Continuous-time optimal portfolio selection using mean-CaR models Zhongfei Li, Kai Wang Ng, Xiaotie Deng	2007	3
8	Grouped Dirichlet distribution: A new tool for incomplete categorical data analysis Journal of Multivariate Analysis ·Kai Wang Ng, Man‐Lai Tang, Ming Tan, Guo‐Liang Tian	2007	16
9	Tail behavior of negatively associated heavy-tailed sums Journal of Applied Probability ·Jaap Geluk, Kai Wang Ng	2006	3
10	Tail behavior of negatively associated heavy-tailed sums Journal of Applied Probability ·Jaap Geluk, Kai Wang Ng	2006	21
11	On improved EM algorithm and confidence interval construction for incomplete tables Computational Statistics & Data Analysis ·Man‐Lai Tang, Kai Wang Ng, Guo‐Liang Tian, Ming Tan	2006	14
12	On Ultimate Ruin in a Delayed-Claims Risk Model Journal of Applied Probability ·Kam Chuen Yuen, Д. Батуліна, Kai Wang Ng	2005	59
13	Precise large deviations for sums of random variables with consistently varying tails Journal of Applied Probability ·Kai Wang Ng, Qihe Tang, Jia-an Yan, Hailiang Yang	2004	85
14	Estimation in mixed effects model with errors in variables Journal of Multivariate Analysis ·Hengjian Cui, Kai Wang Ng, Lixing Zhu	2004	23
15	Asymptotic behavior of tail and local probabilities for sums of subexponential random variables Journal of Applied Probability ·Kai Wang Ng, Qihe Tang	2004	15
16	Asymptotic behavior of tail and local probabilities for sums of subexponential random variables Journal of Applied Probability ·Kai Wang Ng, Qihe Tang	2004	1
17	Ruin probabilities for a risk process with stochastic return on investments Stochastic Processes and their Applications ·Kam Chuen Yuen, Guojing Wang, Kai Wang Ng	2003	33
18	Characteristic Functions of L1-Spherical and L1-Norm Symmetric Distributions and Their Applications Journal of Multivariate Analysis ·Kai Wang Ng, Guo‐Liang Tian	2001	2
19	Differential inhibitory effects of melatonin analogs and three naphthalenic ligands on 2‐[¹²⁵I]iodomelatonin binding to chicken tissues Journal of Pineal Research ·Geislauane Sales Nascimento, P. Stanchi, Yong Song, Shiu Fun Pang, Kai Wang Ng, Béatrice Guardiola‐Lemaître, Michala Kroniková, G.M. Brown	1997	8
20	Symmetric Multivariate and Related Distributions Kai‐Tai Fang, Samuel Kotz, Kai Wang Ng Hit paper breakdown →	1990	806

About Kai Wang Ng

Kai Wang Ng is a scholar working on Statistics and Probability, Management Science and Operations Research, Finance, Demography and Mathematical Physics, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Probability and Risk Models (26 papers), Statistical Methods and Bayesian Inference (18 papers), Bayesian Methods and Mixture Models (16 papers), Insurance, Mortality, Demography, Risk Management (13 papers), Statistical Methods and Inference (12 papers), Stochastic processes and financial applications (11 papers), Statistical Distribution Estimation and Applications (9 papers) and Financial Risk and Volatility Modeling (9 papers). The work is most often cited by research in Statistics and Probability (982 citations), Management Science and Operations Research (839 citations), Finance (644 citations), Demography (336 citations) and Mathematical Physics (210 citations). Kai Wang Ng has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Samuel Kotz, Kai‐Tai Fang, Yiqing Chen, Kam Chuen Yuen, Guo‐Liang Tian, Man‐Lai Tang, Qihe Tang, Anyue Chen, Hailiang Yang and Lixing Zhu. Their work appears in journals such as Journal of Applied Probability, Computational Statistics & Data Analysis, Journal of Multivariate Analysis, Probability in the Engineering and Informational Sciences and Advances in Applied Probability.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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