| Global crop yield forecasting using seasonal climate information from a multi-model ensemble T Iizumi, Y Shin, W Kim, M Kim, J Choi Climate Services 11, 13-23, 2018 | 105 | 2018 |
| Estimation of a tail index based on minimum density power divergence M Kim, S Lee Journal of multivariate Analysis 99 (10), 2453-2471, 2008 | 31 | 2008 |
| Test for tail index change in stationary time series with Pareto-type marginal distribution M Kim, S Lee Bernoulli 15 (2), 325-356, 2009 | 27 | 2009 |
| Change point test for tail index for dependent data M Kim, S Lee Metrika 74, 297-311, 2011 | 15 | 2011 |
| Test for tail index constancy of GARCH innovations based on conditional volatility M Kim, S Lee Annals of the Institute of Statistical Mathematics 71, 947-981, 2019 | 11 | 2019 |
| Global crop yield forecasting using seasonal climate information from a multi-model ensemble. Climate Serv., 11, 13–23 T Iizumi, Y Shin, W Kim, M Kim, J Choi | 11 | 2018 |
| On the tail index inference for heavy-tailed GARCH-type innovations M Kim, S Lee Annals of the Institute of Statistical Mathematics 68, 237-267, 2016 | 11 | 2016 |
| Tests for Volatility Shifts in Garch Against Long‐Range Dependence T Lee, M Kim, C Baek Journal of Time Series Analysis 36 (2), 127-153, 2015 | 10 | 2015 |
| Change point test of tail index for autoregressive processes M Kim, S Lee Journal of the Korean Statistical Society 41, 305-312, 2012 | 9 | 2012 |
| On the maximum likelihood estimator for irregularly observed time series data from COGARCH (1, 1) models M Kim, S Lee REVSTAT-Statistical Journal 11 (2), 135–168-135–168, 2013 | 8 | 2013 |
| Gaussian copula method for bias correction of daily precipitation generated by a dynamical model M Kim, YB Yhang, CM Lim Journal of Applied Meteorology and Climatology 58 (2), 269-289, 2019 | 6 | 2019 |
| Estimation of the tail exponent of multivariate regular variation M Kim, S Lee Annals of the Institute of Statistical Mathematics 69, 945-968, 2017 | 4 | 2017 |
| Maximum composite likelihood estimation for spatial extremes models of Brown–Resnick type with application to precipitation data M Kim, S Lee Scandinavian Journal of Statistics 49 (3), 1023-1059, 2022 | 2 | 2022 |
| Weather Generator–Based Downscaling of EAWM Strength Prediction to the Climate of a Korean Basin M Kim, ST Kim, Y Jeong Journal of Applied Meteorology and Climatology 59 (10), 1581-1605, 2020 | 2 | 2020 |
| Simulation of stock prices based on multivariate regular variation† M Kim The Korean Data & Information Science Society 34 (3), 365-375, 2023 | 1 | 2023 |
| Simulation of elliptical multivariate regular variation† M Kim The Korean Data & Information Science Society 33 (3), 347-357, 2022 | 1 | 2022 |
| A Statistical Model of Daily Solar Radiation M Kim Quantitative Bio-Science 40 (1), 19-30, 2021 | 1 | 2021 |
| Mixture modeling for efficiently estimating the spectral distribution of bivariate regular variation M Kim 한국데이터정보과학회지 32 (3), 679-694, 2021 | 1 | 2021 |
| Connecting ENSO‐related climatic variations with a long‐term crop supply data to enhance agro‐meteorological capability of Tongan stakeholders EJ Lee, M Kim, KH Kim International Journal of Climatology 38, e18-e27, 2018 | 1 | 2018 |
| The CUSUM test for stochastic volatility models MS Kim, SY Lee Journal of the Korean Data and Information Science Society 21 (6), 1305-1310, 2010 | 1 | 2010 |
