|
A-91 Mirfarah
E, Naderi M, Lin TI,
and Wang WL*
(2024)
Robust
Bayesian inference for the censored mixture of experts model
using heavy-tailed distributions
Advances in Data Analysis and Classification
https://doi.org/10.1007/s11634-024-00609-2
(SCI)
full-text
|
|
A-90
Mahdavi
A, Desmond AF, Jamalizadeh A and
Lin TI* (2024) Skew
multiple scaled mixtures of normal distributions with flexible
tail behavior and their application to clustering.
Journal of
Classification
(SCI) 41, 620–649
full-text
|
|
A-89
Kuoi
FY and
Lin TI* (2024) Artificial
Intelligence methods for the prediction of network intrusion
attacks.
Journal of Taiwan Intelligent Technologies and Applied Statistics
22(1), 1-25 (In Chinese,
中文撰寫) full-text
(Invited)
|
|
A-88
Naderi M,
Tamandi M, Mirfarah E, Wang WL
and
Lin TI*
(2024)
Three-way data clustering based on the mean-mixture of
matrix-variate normal distributions
Computational Statistics
and Data Analysis
199,
108016
(SCI)
full-text
|
|
A-87
Wang WL
Castro, LM, Huei-Jyun Li
and
Lin TI* (2024) Mixtures
of t factor analyzers with censored responses and
external covariates: an application to educational data from
Peru.
British Journal of Mathematical
and Statistical Psychology
77(2),
316–336.
(SCI/SSCI)
full-text
|
|
A-86 Lin,
TI and Wang, WL* (2024)
On moments of truncated multivariate normal/independent
distributions.
Journal
of Multivariate Analysis
199, 105248 (SCI)
full-text
|
|
A-85
Wang WL
Castro, LM,
and
Lin TI* (2024) Bayesian
multivariate nonlinear mixed models for censored longitudinal
trajectories with non-monotone missing values. Metrika
87(5), 585-605
(SCI)
full-text
|
|
A-84 Wang, WL,
Yang, YC and
Lin TI* (2024) Extending
finite mixtures of nonlinear mixed-effects models with
covariate-dependent mixing weights. Advances in Data Analysis and Classification
18(2), 271-307
(SCI)
full-text
|
|
A-83
Lin TI and Wang, WL*
(2023) Flexible
modeling of multiple nonlinear longitudinal trajectories with
censored and non-ignorable missing outcomes. Statistical
Methods in Medical Research
32(3),
593–608
(SCI)
full-text
|
|
A-82
Wang, WL and
Lin TI* (2023) Model-based
clustering via mixtures of unrestricted skew normal factor
analyzers with complete and incomplete data. Statistical
Methods and Applications
32(3), 787–817
(SCI)
full-text
|
|
A-81
Lin TI, Chen
IA and Wang, WL*
(2023) A
robust factor analysis model based on the canonical fundamental
skew-t distribution. Statistical
Papers
64(2), 367–393
(SCI)
full-text
|
|
A-80
Naderi M,
Mirfarah E, Wang WL
and
Lin TI*
(2023)
Robust mixture regression modeling based on the normal
mean-variance mixture distributions
Computational Statistics
and Data Analysis
180,
107661
(SCI) full-text
|
|
A-79 Mirfarah
E, Naderi M, Lin TI,
and Wang WL*
(2022)
Multivariate measurement error models with normal mean-variance
mixture distributions
STAT
11:
e503
(SCI) full-text
|
|
A-78
Lin TI and Wang, WL*
(2022) Multivariate
linear mixed models with censored and nonignorable missing
outcomes, with application to AIDS studies. Biometrical
Journal
64, 1325–1339
(SCI)
full-text
|
|
A-77
Ingrassia
S and
Lin TI* (2022) The
2nd Special issue on Mixture Models. Econometrics
and Statistics
22, 1-2
(Editorial)
(SCI)
full-text
|
|
A-76
Wang, WL and
Lin TI* (2022) Robust
clustering via mixtures of t factor analyzers with incomplete
data. Advances in Data Analysis and Classification
16(3) 659-690,
(SCI)
full-text
|
|
A-75
Wang, WL and
Lin TI* (2022) Robust
clustering of multiply censored data via mixtures of t factor
analyzers. TEST
31(1),
22-53
(SCI)
full-text
|
|
A-74
Galarza CE, Lin, TI,
Wang WL and Lachos VH* (2021) On
moments of folded and truncated multivariate Student-t
distributions based on recurrence relations. Metrika
84(6),
825-850
(SCI)
full-text
|
|
A-73
Mahdavi
A,Amirzadeh V, Jamalizadeh A and
Lin TI* (2021)
A multivariate flexible skew-symmetric-normal distribution:
scale-shape mixtures and parameter estimation via selection
representation.
Symmetry
13,
1343
(SCI)
full-text
|
|
A-72
Mahdavi
A,Amirzadeh V, Jamalizadeh A and
Lin TI* (2021)
Maximum likelihood estimation for
scale-shape mixtures of flexible generalized skew normal
distributions via selection representation. Computational
Statistics
36(3),
2201-2230
(SCI)
full-text
|
|
A-71
Lee, SX, Lin, TI and McLachlan GJ* (2021) Mixtures
of factor analyzers with fundamental skew symmetric
distributions. Advances in Data Analysis and Classification 15(2),
481-512
(SCI)
full-text
|
|
A-70
Taavoni, M,
Arashi, M*,
Wang, WL and
Lin TI (2021) Multivariate
t semiparametric mixed-effects model for longitudinal
data with multiple characteristics. Journal
of Statistical Computation and Simulation
91(2)
260-281
(SCI)
full-text
|
|
A-69
Wang, WL,
Castro, LM, Hsieh, WC and
Lin TI* (2021) Mixtures
of factor analyzers with covariates for modeling multiply censored dependent variables. Statistical
Papers
62(5),
2119-2145
(SCI)
full-text
|
|
A-68
Naderi, M, Jamalizadeha, A,
Wang, WL and
Lin TI* (2020) Evaluating
risk measures using the normal mean-variance Birnbaum-Saunders
distribution. Springer series-
Computational and Methodological Statistics and Biostatistics -
Contemporary Essays in Advancement,
pp. 187-209
(Book Chapter)
full-text
(invited)
|
|
A-67
Garay AM, Medina, FL*,
Cabral CRB and
Lin,
TI (2020) Bayesian
analysis of the p-order integer valued AR process with zero-inflated Poisson innovations. Journal
of Statistical Computation and Simulation 90(11)
1943-1964
(SCI)
full-text
|
|
A-66 Yang
YC,
Lin,
TI,
Castro, LM and Wang, WL* (2020) Extending
finite mixtures of t linear mixed-effects models with concomitant
covariates. Computational Statistics
and Data Analysis
148,
106961,
1-20
(SCI)
full-text
|
|
A-65
Wang, WL and
Lin TI* (2020) Automated
learning of mixtures of factor analysis models with missing
information. TEST
29(4), 1098-1124
(SCI)
full-text
|
|
A-64
Hashemia, F, Naderi, M, Jamalizadeha, A and
Lin,
TI*
(2020)
A skew factor analysis model based on the normal mean-variance
mixture of Birnbaum-Saunders distribution.
Journal
of Applied Statistics
47(16), 3007-3029 (SCI)
full-text
|
|
A-63
Wang, WL,
Jamalizadeh, A and
Lin TI* (2020) Finite
mixtures of multivariate scale-shape mixtures of skew-normal
distributions. Statistical
Papers
61(6), 2643-2670
(SCI)
full-text
supplemetary materials
|
|
A-62
Lin,
TI and Wang, WL*
(2020) Multivariate-t
linear mixed models with censored responses, intermittent
missing values and heavy tails. Statistical
Methods in Medical Research
29(5), 1288-1304 (SCI)
full-text
supplemetary materials
|
|
A-61Wang, WL, Castro, LM, Lachos, VH
and Lin,
TI* (2019) Model-based
clustering of censored data via mixtures of factor analyzers. Computational Statistics
and Data Analysis
140,
104-121
(SCI)
full-text
|
|
A-60
Naderia M, Hung WL*,
Lin, TI and
Jamalizadeh A (2019) A
novel mixture model using the multivariate normal mean-variance
mixture of Birnbaum-Saunders distributions and its application
to extrasolar planets Journal
of Multivariate Analysis
171, 126-138
(SCI)
full-text
supplemetary materials
|
|
A-59
Tamandi M,
Jamalizadeh A and
Lin TI* (2019) Shape
mixtures of skew-t-normal distributions:
characterizations and estimation. Computational
Statistics
34(1), 323-347
(SCI)
full-text
supplemetary materials
|
|
A-58
Matos LA, Lachos VH*,
Lin, TI and
Castro LM (2019) Heavy-tailed
longitudinal regression models for censored data: A robust
parametric approach. TEST
28(3), 844-878
(SCI)
full-text
|
|
A-57 Wang, WL, Castro, LM, Chang,
YT and Lin,
TI* (2019) Mixtures
of restricted skew-t factor analyzers with common
factor loadings. Advances in Data Analysis and Classification
13(2), 445-480 (SCI) full-text
|
|
A-56
Lin,
TI, Lachos,
VH and Wang, WL*
(2018) Multivariate
longitudinal data analysis with censored and intermittent
missing responses. Statistics
in Medicine
37,
2822-2835
(SCI)
full-text
supplemetary materials
|
|
A-55 Wang, WL*, Lin,
TI and Lachos,
VH (2018) Extending
multivariate-t linear
mixed models for multiple longitudinal data with censored
responses and heavy tails. Statistical
Methods in Medical Research
27, 48-64 (SCI)
full-text
supplemetary materials
|
|
A-54
Lin, TI*,
Wang, WL, McLachlan GJ
and
Lee, SX
(2018) Robust
mixtures of factor analysis models using the restricted
multivariate skew-t distribution.
Statistical Modelling
28,
50-72
(SCI)
full-text
archive
Example data and code
|
|
A-53
Roozegar R, Jamalizadeh A*, Amiri M and
Lin TI* (2018) On
the exact distribution of order statistics arising from a doubly
truncated bivariate elliptical distribution.
METRON 76,
99-114
(SCI)
full-text
|
|
A-52
Lin, TI and Wang,
WL* (2017) Multivariate-t
nonlinear mixed models with application to censored
multi-outcome AIDS studies.
Biostatistics 18,
666-681 (SCI) full-text
supplemetary materials
|
|
A-51 Wang, WL, Castro, LM and Lin,
TI* (2017) Automated
learning of t factor analysis models with complete and
incomplete data
Journal
of Multivariate Analysis
161, 157-171 (SCI)
full-text
supplemetary materials
|
|
A-50 Wang, WL, Min Liu and Lin,
TI* (2017) Robust
skew-t factor analysis models for handling missing data. Statistical
Methods and Applications
26, 649-672
(SCI)
full-text
|
|
A-49
Naderia M, Arabpour, A,
Lin,
TI*
and Jamalizadeh, A* (2017) Nonlinear
regression models based on the normal mean-variance mixture of
Birnbaum-Saunders distribution. Journal
of the Korean Statistical Society 46,
476-485 (SCI)
full-text
|
|
A-48 Wang, WL and Lin,
TI* (2017) Flexible
clustering via extended mixtures of common t-factor analyzers. Advances
in Statistical Analysis 101,
227-252
(SCI)
full-text
|
|
A-47 Jamalizadeh, A and Lin,
TI* (2017) A
general class of scale-shape mixtures of skew-normal
distributions: properties and estimation. Computational
Statistics 32,
451-474 (SCI)
full-text
|
|
A-46 Wang,
WL* and Lin,
TI (2016) Maximum
likelihood inference for the multivariate t mixture
model. Journal
of Multivariate Analysis 149,
54-64 (SCI)
full-text supplemetary materials
|
|
|
A-45 Garay, AW*, Lachos, VH. and
Lin,
TI
(2016) Nonlinear
censored regression models with scale mixtures of normal distributions.
Statistics and its Interface
9, 281-293
(SCI)
full-text |
|
A-44
Lin, TI*,
McLachlan GJ
and
Lee, SX
(2016)
Extending mixtures of factor models using the
restricted multivariate skew-normal distribution.
Journal
of Multivariate Analysis
143,
398-413
(SCI)
full-text |
|
A-43 Wang, WL
and
Lin, TI*
(2015)
Robust model-based clustering via mixtures of skew-t distributions with
missing information.
Advances in Data Analysis and Classification
9, 423-445
(SCI)
full-text |
|
A-42
Lin, TI*,
Wu, PH, McLachlan GJ
and
Lee, SX
(2015) A robust factor analysis model using the restricted
skew-t distribution.
TEST
24,
510-531
(SCI)
full-text |
|
A-41 Liu, M
and
Lin, TI*
(2015) Skew-normal factor analysis models with incomplete
data.
Journal
of Applied Statistics
42, 789-805
(SCI)
full-text |
|
A-40 Wang, WL*
and
Lin, TI
(2015) Bayesian analysis of multivariate t linear mixed
models with missing responses at random. Journal
of Statistical Computation and Simulation
85,
3594-3612
(SCI)
full-text |
|
A-39 Wang, WL*
and
Lin, TI
(2014) Multivariate
t nonlinear mixed-effects models
for multi-outcome longitudinal data with missing values. Statistics
in Medicine
33, 3029-3046
(SCI)
full-text |
|
A-38
Lin, TI*,
Ho, HJ and
Lee CR
(2014)
Flexible mixture modelling using the multivariate skew-t-normal
distribution. Statistics
and Computing
24, 531-546
(SCI)
full-text |
|
A-37
Lin, TI*,
McNicholas,
PD and
Ho, HJ
(2014)
Capturing patterns via parsimonious mixture models.
Statistics and Probability Letters
88, 80-87
(SCI)
full-text
supplemetary materials |
|
A-36 Liu, M*
and
Lin, TI
(2014)
A skew-normal mixture regression model.
Educational and
Psychological Measurement
74,
139-162 (SSCI)
full-text |
|
A-35
Lin, TI*
(2014)
Learning from incomplete data via parameterized
t
mixture models through eigenvalue decomposition.
Computational Statistics
and Data Analysis
71,
183-195
(SCI)
full-text |
|
A-34
Lin, TI
and Wang, WL*
(2013)
Multivariate skew-normal linear mixed models for multi-outcome
longitudinal data.
Statistical Modelling
13,
199-221
(SCI)
full-text |
|
A-33 Wang, WL and
Lin, TI*
(2013)
An efficient ECM algorithm for maximum likelihood estimation in mixtures
of t-factor analyzers.
Computational Statistics
28, 751-769
(SCI)
full-text |
|
A-32 Wang, WY and
Lin, TI*
(2012)
Parsimonious Gaussian clustering models with missing information.
Journal of the Chinese Statistical Association
50, 142-172 (In Chinese,
中文撰寫)
full-text |
|
A-31 Ho, HJ,
Lin, TI(Co-first
author) , Chang,
HH, Haase, HB, Huang, S and Pyne S*
(2012) Parametric modeling of
cellular state transitions as measured with flow cytometry different
tissues.
BMC Bioinformatics 13(Suppl 5):S5 (13 pages)
(SCI)
full-text |
|
A-30 Ho, HJ, Pyne, S and
Lin, TI*
(2012) Maximum likelihood inference for
mixtures of skew Student-t-normal distributions through practical EM-type
algorithms.
Statistics and Computing
22, 287-299
(SCI)
full-text
|
|
A-29 Ho, HJ,
Lin, TI,
Chen,
HY and Wang, WL*
(2012)
Some results on the truncated multivariate
t distribution.
Journal of Statistical Planning and Inference
142, 25-40
(SCI)
full-text
R code |
|
A-28 Chen, PJ, Kuo, YC and
Lin, TI*
(2011)
Classification Rules for heterogeneous multivariate
t populations.
Journal of Taiwan Intelligent Technologies and Applied Statistics
9, 31-48 (In Chinese,
中文撰寫)
full-text |
|
A-27 Rossin, E,
Lin, TI(Co-first
author), Ho, HJ, Mentzer, SJ and Pyne, S*
(2011) A framework for analytical characterization of
monoclonal antibodies based on reactivity profiles in different tissues.
Bioinformatics
27, 2746-2753
Software
suppl
(SCI) |
|
A-26
Lin, TI*
and Lin, TC
(2011) Robust
statistical modelling using the multivariate skew
t
distribution with complete and incomplete
data.
Statistical Modelling
11,
253-277
(SCI)
full-text |
|
A-25
Lin, TI*
and Wang, WL
(2011) Bayesian inference in
joint modelling of location and scale parameters of the t
distribution for longitudinal data.
Journal of Statistical Planning and Inference
141, 1543-1553
(SCI)
full-text |
|
A-24
Ho, HJ and
Lin, TI*
(2010) Robust linear mixed
models using the skew t distribution with application to
schizophrenia data.
Biometrical Journal
52, 449-469 (SCI)
full-text Data and Software
|
|
A-23 Lin TC and
Lin, TI*
(2010) Supervised learning of
multivariate skew normal mixture models with missing information.
Computational Statistics
25, 183-201
(SCI)
full-text |
|
A-22
Lin, TI*
(2010)
Robust mixture modeling using multivariate skew
t
distributions.
Statistics and Computing
20,
343-356
(SCI)
full-text |
|
A-21
Lin, TI*,
Ho,
HJ and Chen, CL
(2009) Analysis
of multivariate skew normal models with incomplete data.
Journal of
Multivariate Analysis
100, 2337-2351 (SCI)
full-text |
|
A-20 Pyne,
S, Hu, X, Wang, K, Rossin, E,
Lin, TI, Maier, LM,
Baecher-Allan, C, McLachlan, GJ, Tamayo, P, Hafler*,
DA, De Jager, PL and Mesirov*,
JP
(2009)
Automated high-dimensional flow cytometric data analysis.
Proceedings of the National Academy of Sciences (PNAS)
USA
106, 8519-8524
(SCI)
full-text
supplemetary materials Software
|
|
A-19
Lin, TI*
and
Wang, YJ
(2009)
A robust
approach to joint modeling of mean and scale covariance for longitudinal
data.
Journal of Statistical Planning and Inference
139, 3013-3026
(SCI) |
|
A-18
Lin, TI*,
Ho, HJ, and Shen, PS
(2009) Computationally efficient learning of
multivariate t mixture models with missing information.
Computational Statistics 24,
375-392
(SCI)
full-text |
|
A-17 Lin, TI*
(2009) Maximum likelihood estimation for multivariate skew normal
mixture models.
Journal of Multivariate Analysis
100, 257-265
(SCI)
full-text |
|
A-16 Lin, TI*
(2008)
Longitudinal
data analysis using t linear mixed models with autoregressive
dependence structures.
Journal of Data Scienece
(A
special issue in memory of Professor Jack C. Lee)
6, 333-355
full-text |
|
A-15 Hsu*, YL,
Lin, TI, and Lee, CF
(2008) Constant
Elasticity of Variance (CEV) Option Pricing Model: Integration and
Detailed Derivations.
Mathematics and Computers in Simulation
79, 60-71
(SCI)
full-text |
|
A-14 Lin, TI*,
and Lee, JC
(2008) Estimation and prediction in linear mixed models with
skew normal random effects for longitudinal data.
Statistics in Medicine 27,
1490-1507
(SCI)
full-text |
|
A-13 Lin, TI*,
and Ho, HJ
(2008) A simplified approach to inverting the autocovariance
matrix of a general ARMA(p,q) process,
Statistics
&
Probability Letters
78, 36-41 full-text
code
(SCI) |
|
A-12 Lin, TI*
and
Lee, JC and Hsieh WJ
(2007)
Robust mixture modeling using the skew t distribution.
Statistics and Computing
17, 81-92.
(SCI)
full-text |
|
A-11 Lin, TI*
and Lee, JC
(2007)
Bayesian analysis of hierarchical linear mixed modeling using the
multivariate t
distribution.
Journal of Statistical Planning and Inference
137, 484-495
(SCI)
full-text |
|
A-10 Lin, TI*,
Lee, JC and Yen,
SY
(2007)
Finite mixture modelling using the skew normal distribution,
Statistica Sinica
17, 909-927.
(SCI)
full-text |
|
A-9 Lin, TI*
(2006) Bayesian analysis of time series regressions with multivariate
t
autoregressive errors.
Journal of the Chinese Statistical Association
44, 108-129.
full-text |
|
A-8
Lin, TI*,
Lee, JC, and Ho, Hj
(2006)
On fast supervised learning for normal mixture models with missing
information.
Pattern Recognition
39, 1177-1187.
(SCI)
full-text |
|
A-7
Lin, TI*
and Lee, JC
(2006) A robust approach to
t linear mixed models
applied to multiple sclerosis data.
Statistics
in Medicine
25,1397-1412.
(SCI)
full-text |
|
A-6
Lee, JC*,
Lin, TI, Lee, KJ and Hsu, YL
(2005)
Bayesian analysis of
Box-Cox transformed linear mixed models with ARMA(p,q)
dependence.
Journal of Statistical Planning and Inference
133,
435-451.
(SCI)
full-text |
|
A-5 Hsu, YL*, Kueng, TL, Lee, JC and
Lin, TI
(2005)
Parameter estimation and future value prediction of generalized growth
curve model with power transformation, random effects and general AR(g)
dependence,
Journal of the Chinese Statistical Association
43, 451-471.
full-text |
|
A-4.
Lee, JC*,
Lee, CF, Wang, RS and Lin, TI
(2004) Binomial and
multinomial option pricing models: review and integration,
Advance in Quantitative Finance and Accounting
(New Series)
1, 271 - 295.
full-text |
A-3 Lee, JC*, Wang, RS and Lin, TI (2004) On the inverse of the autocorrelation matrix for an AR(p) process.
Journal of the Chinese Statistical Association 42, 81-89. full-text
|
|
A-2
Lin, TI*,
Lee, JC and Ni, HF
(2004) Bayesian analysis of mixture modelling using
the multivariate t
distribution.
Statistics and Computing
14, 119-130.
(SCI)
full-text |
|
A-1
Lin, TI*
and Lee, JC
(2003)
On modelling data from degradation sample paths over time.
Australian and New Zealand Journal of Statistics
45,
257-270.
(SCI)
full-text |