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List of Papers
Shuichi Kawano Last modified dateļ¼š2024.03.30

Professor / Division of Analysis / Faculty of Mathematics


Papers
1. Kakikawa, Y., Kawano, S., Bayesian fused lasso modeling for binary data, Behaviormetrika, accepted, 2024.12.
2. Okazaki, A., Kawano, S., Multi-task learning regression via convex clustering, Computational Statistics & Data Analysis, 10.1016/j.csda.2024.107956, 195, 107956, 2024.07, [URL].
3. Kakikawa, Y., Shimamura, K., Kawano, S., Bayesian fused lasso modeling via horseshoe prior, Japanese Journal of Statistics and Data Science, 10.1007/s42081-023-00213-2, 6, 705-727, 2023.11, [URL].
4. Murayama, K., Kawano, S., Sparse Bayesian learning with weakly informative hyperprior and extended predictive information criterion, IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2021.3131357, 34, 9, 5856-5868, 2023.09, [URL].
5. Yoshikawa, K., Kawano, S., Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization, Computational Statistics, 10.1007/s00180-022-01216-5, 38, 1, 53-75, 2023.03, [URL].
6. Kim, D., Kawano, S., Ninomiya, Y., Smoothly varying regularization, Computational Statistics & Data Analysis, 10.1016/j.csda.2022.107644, 179, 107644, 2023.03, [URL].
7. Okazaki, A., Kawano, S., Multi-task learning for compositional data via sparse network lasso, Entropy, 10.3390/e24121839, 24, 12, 1839, 2022.12, [URL].
8. , [URL].
9. Oshiki, M., Fukushima, T., Kawano, S., Nakagawa, J., Endpoint recombinase polymerase amplification (RPA) assay for enumeration of thiocyanate-degrading bacteria, Microbes and Environments, 10.1264/jsme2.ME21073, 37, 1, ME21073, 2022.03, [URL].
10. Takahashi, H., Tahara, M., Miyashita, S., Ando, S., Kawano, S., Kanayama, Y., Fukuhara, T., Kormelink, R., Cucumber Mosaic Virus Infection in Arabidopsis: A Conditional Mutualistic Symbiont?, Frontiers in Microbiology, 10.3389/fmicb.2021.770925, 12, 770925, 2022.01, [URL].
11. Shimamura, K., Kawano, S., Bayesian sparse convex clustering via global-local shrinkage priors, Computational Statistics, 10.1007/s00180-021-01101-7, 36, 4, 2671-2699, 2021.12, [URL].
12. Yoshikawa, K., Kawano, S., Multilinear common component analysis via Kronecker product representation, Neural Computation, 10.1162/neco_a_01425, 33, 10, 2853-2880, 2021.10, [URL].
13. Kawano, S., Sparse principal component regression via singular value decomposition approach, Advances in Data Analysis and Classification, 10.1007/s11634-020-00435-2, 15, 3, 795-823, 2021.09, [URL].
14. Yoshida, H., Kawano, S., Ninomiya, Y., Discriminant analysis via smoothly varying regularization, Proceedings in the 13th KES International Conference on Intelligent Decision Technologies, 10.1007/978-981-16-2765-1_37, 238, 441-455, 2021.07, [URL].
15. Wu, S., Shimamura, K., Yoshikawa, K., Murayama, K., Kawano, S., Variable fusion for Bayesian linear regression via spike-and-slab priors, Proceedings in the 13th KES International Conference on Intelligent Decision Technologies, 10.1007/978-981-16-2765-1_41, 238, 491-501, 2021.07, [URL].
16. Kojima, S., Yoshikawa, K., Ito, J., Nakagawa, S., Parrish, N.F., Horie, M., Kawano, S., Tomonaga, K., Virus-like insertions with sequence signatures similar to those of endogenous non-retroviral RNA viruses in the human genome, Proceedings of the National Academy of Sciences of the United States of America, 10.1073/pnas.2010758118, 118, 5, e2010758118, 2021.02, [URL].
17. Miyazaki, K., Suenaga, H., Oshiki, M., Kawano, S., Fukushima, T., Complete genome sequence of Thiohalobacter sp. strain COW1, isolated from activated sludge treating coke oven wastewater, Microbiology Resource Announcements, 10.1128/MRA.00013-21, 10, 7, e00013-21, 2021.02, [URL].
18. Ohishi, M., Yanagihara, H., Kawano, S., Equivalence between adaptive-lasso and generalized ridge estimators in linear regression with orthogonal explanatory variables after optimizing regularization parameters, Annals of the Institute of Statistical Mathematics, 10.1007/s10463-019-00734-2, 72, 6, 1501-1516, 2020.12, [URL].
19. Kato, A., Adachi, S., Kawano, S., Takeshima, K., Watanabe, M., Kitazume, S., Sato, R., Kusano, H., Koyanagi, N., Maruzuru, Y., Arii, J., Hatta, T., Natsume, T., Kawaguchi, Y., Identification of a herpes simplex virus 1 gene encoding neurovirulence factor by chemical proteomics, Nature Communications, 10.1038/s41467-020-18718-9, 11, 4894, 2020.09, [URL].
20. Oshiki, M., Fukushima, T., Kawano, S., Kasahara, Y., Nakagawa, J., Thiocyanate degradation by a highly enriched culture of the neutrophilic halophile Thiohalobacter sp. strain FOKN1 from activated sludge and genomic insights into thiocyanate metabolism, Microbes and Environments, 10.1264/jsme2.ME19068, 34, 4, 402-412, 2019.12, [URL].
21. , [URL].
22. Shimamura, K., Ueki, M., Kawano, S., Konishi, S., Bayesian generalized fused lasso modeling via NEG distribution, Communications in Statistics - Theory and Methods, 10.1080/03610926.2018.1489056, 48, 16, 4132-4153, 2019.08, [URL].
23. Matsuda, K., Kawano, S., Konishi, S., Predictive information criteria for robust relevance vector regression models, Bulletin of Informatics and Cybernetics, 10.5109/2233862, 50, 67-80, 2018.12, [URL].
24. Kawano, S., Fujisawa, H., Takada, T., Shiroishi, T., Sparse principal component regression for generalized linear models, Computational Statistics & Data Analysis, 10.1016/j.csda.2018.03.008, 124, 180-195, 2018.08, [URL].
25. Yamasaki, Y., Fujita, M., Kawano, S., Baba, T., Effect of salinity on interspecific competition between the dinoflagellate Alexandrium catenella and the raphidophyte Heterosigma akashiwo, Aquatic Microbial Ecology, 10.3354/ame01860, 81, 1, 73-82, 2018.02, [URL].
26. , [URL].
27. Oshiki, M., Fukushima, T., Kawano, S., Nakagawa, J., Draft genome sequence of Thiohalobacter thiocyanaticus strain FOKN1, a neutrophilic halophile capable of thiocyanate degradation, Genome Announcements, 10.1128/genomeA.00799-17, 5, 32, e00799-17, 2017.08, [URL].
28. , [URL].
29. Ninomiya, Y., Kawano, S., AIC for the Lasso in generalized linear models, Electronic Journal of Statistics, 10.1214/16-EJS1179, 10, 2, 2537-2560, 2016.09, [URL].
30. Yamasaki, Y., Taga, S., Kishioka, M., Kawano, S., A metabolic profile in Ruditapes philippinarum associated with growth-promoting effects of alginate hydrolysates, Scientific Reports, 10.1038/srep29923, 6, 29923, 2016.07, [URL].
31. Natori, K., Uto, M., Nishiyama, Y., Kawano, S., Ueno, M., Constraint-based learning Bayesian networks using Bayes factor, Proceedings in the 2nd International Workshop, Advanced Methodologies for Bayesian Networks 2015, Lecture Notes in Artificial Intelligence, 10.1007/978-3-319-28379-1_2, 9505, 15-31, 2015.12, [URL].
32. , [URL].
33. Kawano, S., Hoshina, I., Shimamura, K., Konishi, S., Predictive model selection criteria for Bayesian lasso regression, Journal of the Japanese Society of Computational Statistics, 10.5183/jjscs.1501001_220, 28, 67-82, 2015.12, [URL].
34. Kawano, S., Fujisawa, H., Takada, T., Shiroishi, T., Sparse principal component regression with adaptive loading, Computational Statistics & Data Analysis, 10.1016/j.csda.2015.03.016 , 89, 192-203, 2015.09, [URL].
35. Kawano, S., Selection of tuning parameters in bridge regression models via Bayesian information criterion, Statistical Papers, 10.1007/s00362-013-0561-7, 55, 4, 1207-1223, 2014.11, [URL].
36. Matsui, H., Misumi, T., Kawano, S., Model selection criteria for the varying-coefficient modeling via regularized basis expansions, Journal of Statistical Computation and Simulation, 10.1080/00949655.2013.785548, 84, 10, 2156-2165, 2014.10, [URL].
37. Kim, D., Kawano, S., Ninomiya, Y., Adaptive basis expansion via $\ell_1$ trend filtering, Computational Statistics, 10.5109/1495409, 29, 5, 1005-1023, 2014.10, [URL].
38. Kawano, S., Semi-supervised logistic discrimination via labeled data and unlabeled data from different sampling distributions, Statistical Analysis and Data Mining, 10.1002/sam.11204, 6, 6, 472-481, 2013.12, [URL].
39. Takatsuno Y., Mimori K., Yamamoto K., Sato T., Niida A., Inoue H., Imoto S., Kawano S., Yamaguchi R., Toh H., Iinuma H., Ishimaru S., Ishii H., Suzuki S., Tokudome S., Watanabe M., Tanaka J. I., Kudo S. E., Mochizuki H., Kusunoki M., Yamada K., Shimada Y., Moriya Y., Miyano S., Sugihara K., Mori M., The rs6983267 SNP is associated with MYC transcription efficiency, which promotes progression and worsens prognosis of colorectal cancer, Annals of Surgical Oncology, 10.1245/s10434-012-2657-z, 20, 4, 1395-1402, 2013.04, [URL].
40. Kawano, S., Misumi, T., Konishi, S., Semi-supervised logistic discrimination via graph-based regularization, Neural Processing Letters, 10.1007/s11063-012-9231-3, 36, 3, 203-216, 2012.12, [URL].
41. Kawano, S., Konishi, S., Semi-supervised logistic discrimination for functional data, Bulletin of Informatics and Cybernetics, 10.5109/1495407, 44, 1-15, 2012.12, [URL].
42. Kim, D., Kawano, S., Konishi, S., Predictive information criteria for Bayesian nonlinear regression models, Bulletin of Informatics and Cybernetics, 10.5109/1495408, 44, 17-28, 2012.12, [URL].
43. Kawano, S., Adaptive bridge regression modeling and selection of the tuning parameters, Bulletin of Informatics and Cybernetics, 10.5109/1495409, 44, 29-39, 2012.12, [URL].
44. Ishimaru, S., Mimori, K., Yamamoto, K., Inoue, H., Imoto, S., Kawano, S., Yamaguchi, R., Sato, T., Toh, H., Iinuma, H., Maeda, T., Ishii, H., Suzuki, S., Tokudome, S., Watanabe, M., Tanaka, J., Kudo, S., Sugihara, K., Hase, K., Mochizuki, H., Kusunoki, M., Yamada, K., Shimada, Y., Moriya, Y., Barnard, G. F., Miyano, S., Mori, M., Increased risk for CRC in diabetic patients with the nonrisk allele of SNPs at 8q24, Annals of Surgical Oncology, 10.1245/s10434-012-2278-6, 19, 9, 2853-2858, 2012.09, [URL].
45. Kawano, S., Shimamura, T., Niida, A., Imoto, S., Yamaguchi, R., Nagasaki, M., Yoshida, R., Print, C., Miyano, S., Identifying gene pathways associated with cancer characteristics via sparse statistical methods, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10.1109/TCBB.2012.48, 9, 4, 966-972, 2012.07, [URL].
46. Okayama, H., Kohno, T., Ishii, Y., Shimada, Y., Shiraishi, K., Iwakawa, R., Furuta, K., Tsuta, K., Shibata, T., Yamamoto, S., Watanabe, S., Sakamoto, H., Kumamoto, K., Takenoshita, S., Gotoh, N., Kawano, S., Yamaguchi, R., Miyano, S., Yokota, J., Identification of genes up-regulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas, Cancer Research, 10.1158/0008-5472.CAN-11-1403, 72, 1, 100-111, 2012.01, [URL].
47. Kawano, S., Konishi, S., Semi-supervised logistic discrimination via regularized Gaussian basis expansions, Communications in Statistics - Theory and Methods, 10.1080/03610926.2010.481370, 40, 13, 2412-2423, 2011.04, [URL].
48. Hirose, K., Kawano, S., Konishi, S., Ichikawa, M., Bayesian information criterion and selection of the number of factors in factor analysis models, Journal of Data Science, 9, 2, 243-259, 2011.03.
49. Kawano, S., Shimamura, T., Niida, A., Imoto, S., Yamaguchi, R., Nagasaki, M., Yoshida, R., Print, C., Miyano, S., Discovering functional gene pathways associated with cancer heterogeneity via sparse supervised learning, Proceedings in IEEE Bioinformatics and Biomedicine, 10.1109/BIBM.2010.5706572, 253-258, 2010.12, [URL].
50. Hirose, K., Kawano, S., Miike, D., Konishi, S., Hyper-parameter selection in Bayesian structural equation models, Bulletin of Informatics and Cybernetics, 10.5109/25906, 42, 55-70, 2010.12, [URL].
51. Araki, Y., Konishi, S., Kawano, S., Matsui, H., Functional regression modeling via regularized Gaussian basis expansions, Annals of the Institute of Statistical Mathematics, 10.1007/s10463-007-0161-1, 61, 4, 811-833, 2009.12, [URL].
52. Kawano, S., Konishi, S., Nonlinear logistic discrimination via regularized Gaussian basis expansions, Communications in Statistics - Simulation and Computation, 10.1080/03610910902940150, 38, 7, 1414-1425, 2009.08, [URL].
53. Matsui, H., Kawano, S, Konishi, S., Regularized functional regression modeling for functional response and predictors, Journal of Mathematics for Industry, 1, 17-25, 2009.04, [URL].
54. Araki, Y., Konishi, S., Kawano, S., Matsui, H., Functional logistic discrimination via regularized basis expansions, Communications in Statistics - Theory and Methods, 10.1080/03610920902947246, 38, 16,17, 2944-2957, 2009.01, [URL].
55. Hirose, K., Kawano, S., Konishi, S., Bayesian factor analysis and information criterion, Bulletin of Informatics and Cybernetics, 10.5109/18995, 40, 75-87, 2008.12, [URL].
56. Kawano, S., Konishi, S., Nonlinear regression modeling via regularized Gaussian basis functions, Bulletin of Informatics and Cybernetics, 10.5109/16776, 39, 83, 96, 2007.12, [URL].


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