Results 251 to 260 of about 543,710 (291)

Measuring the Consistency of Pancasila Rule of Law Implementation in Ensuring Judicial Independence in Indonesia

Jurnal Hukum
This study examines the consistency of the implementation of the Pancasila State of Law in guaranteeing judicial freedom in Indonesia, as stipulated in Article 1 paragraph (3) and Article 24 paragraph (1) of the 1945 Constitution.
Adies Kadir, G. Gunarto, A. Hussain, Mohammad Abu Taher   +3 more
semanticscholar   +1 more source

Development and Validation of the Participation Questionnaire for Preschoolers with Autism Spectrum Disorder: Structural Validity, Internal Consistency, and Construct Validity

Physical & Occupational Therapy in Pediatrics
Aim This study aimed to develop the Participation Questionnaire for Preschoolers (PQP) and validate its psychometric properties as a disability-specific tool designed to assess participation in preschool-aged children with autism spectrum disorder (ASD).
Takuto Nakamura, H. Nagayama, S. Sasada
semanticscholar   +1 more source

Promote sign consistency in the joint estimation of precision matrices

Computational Statistics & Data Analysis, 2021
The Gaussian graphical model is a popular tool for inferring the relationships among random variables, where the precision matrix provides a natural interpretation of conditional independence.
Qingzhao Zhang, Shuangge Ma, Yuan Huang
semanticscholar   +1 more source

Energy Independence of the Collins Asymmetry in p^{↑}p Collisions.

Physical Review Letters
The STAR experiment reports new, high-precision measurements of the transverse single-spin asymmetries for π^{±} within jets, namely the Collins asymmetries, from transversely polarized p^{↑}p collisions at sqrt[s]=510  GeV.
B. Aboona, J. Adam, L. Adamczyk, I. Aggarwal, M. Aggarwal, Z. Ahammed, A. Alshammri, E. Aschenauer, S. Aslam, J. Atchison, V. Bairathi, X. Bao, P. Barik, K. Barish, S. Behera, R. Bellwied, P. Bhagat, A. Bhasin, S. Bhatta, S. R. Bhosale, J. Bielcik, J. Bielčíková, J. Brandenburg, C. Broodo, X. Cai, H. Caines, M. Sanchez, D. Cebra, J. Ceska, I. Chakaberia, P. Chaloupka, Y. Chang, Z. Chang, A. Chatterjee, D. Chen, J. Chen, Q. Chen, W. Chen, Z. Chen, J. Cheng, Y. Cheng, W. Christie, X. Chu, S. Corey, H. Crawford, M. Csanád, G. Dale-Gau, A. Das, D. S. Lemos, I. Deppner, A. Deshpande, A. Dhamija, A. Dimri, P. Dixit, X. Dong, J. Drachenberg, E. Duckworth, J. Dunlop, Y. S. El-Feky, J. Engelage, G. Eppley, S. Esumi, O. Evdokimov, O. Eyser, B. Fan, R. Fatemi, S. Fazio, H. Feng, Y. Feng, E. Finch, Y. Fisyak, F. Flor, C. Fu, T. Fu, C. Gagliardi, T. Galatyuk, T. Gao, Y. Gao, G. Garcia, F. Geurts, A. Gibson, A. Giri, K. Gopal, X. Gou, D. Grosnick, A. Gu, J. Gu, A. Gupta, W. Guryn, Ahmed M. Hamed, R. J. Hamilton, J. Han, X. Han, S. Harabasz, M. Harasty, J. Harris, H. Harrison-Smith, L. Havener, X. He, Y. He, N. Herrmann, L. Holub, C. Hu, Q. Hu, Y. Hu, H. Huang, H. Huang, S. Huang, T. Huang, Y. Huang, Y. Huang, Y. Huang, M. Isshiki, W. W. Jacobs, A. Jalotra, C. Jena, A. Jentsch, Y. Ji, J. Jia, X. Jiang, C. Jin, Y. Jin, N. Jindal, X. Ju, E. Judd, S. Kabana, D. Kalinkin, J. Kang, K. Kang, A. Kanuganti, D. Kapukchyan, K. Kauder, D. Keane, M. Kesler, A. Khanal, Y. Khyzhniak, D. Kikoła, J. Kim, D. Kincses, I. Kisel, A. Kiselev, A. Knospe, J. Kołaś, B. Kórodi, L. Kosarzewski, Lokesh Kumar, M. C. Labonté, R. Lacey, J. Landgraf, C. Larson, J. Lauret, A. Lebedev, J. Lee, Y. Leung, C. Li, D. Li, H. Li, H. Li, H. Li, H. Li, W. Li, X. Li, Y. Li, Z. Li, Z. Li, X. Liang, R. Licenik, T. Lin, Y. Lin, M. Lisa, C. Liu, Gang Liu, H. Liu, L. Liu, L. Liu, Z. Liu, Z. Liu, T. Ljubičić, O. Lomicky, E. Loyd, T. Lu, J. Luo, X. F. Luo, L. Ma, R. Ma, Y. Ma, N. Magdy, D. Mallick, R. Manikandhan, C. Markert, O. Matonoha, K. Mi, S. Mioduszewski, B. Mohanty, B. Mondal, M. Mondal, I. Mooney, J. Mrázková, M. Nagy, C. Naim, A. Nain, J. Nam, M. Nasim, H. Nasrulloh, J. Nelson, M. Nie, G. Nigmatkulov, T. Niida, T. Nonaka, G. Odyniec, A. Ogawa, S. Oh, K. Okubo, B. Page, S. Pal, A. Pandav, A. Panday, A. Pandey, T. Pani, A. Paul, S. Paul, D. Pawłowska, C. Perkins, S. Ping, J. Pluta, B. R. Pokhrel, I. D. P. Pinto, M. Posik, E. Pottebaum, S. Prodhan, T. Protzman, A. Prozorov, V. Prozorova, N. Pruthi, M. Przybycien, J. Putschke, Y. Qi, Z. Qin, H. Qiu, C. Racz, S. Radhakrishnan, A. Rana, R. L. Ray, R. Reed, C. Robertson, M. Robotkova, M. Aguilar, D. Roy, P. R. Chowdhury, L. Ruan, A. Sahoo, N. Sahoo, H. Sako, S. Salur, S. Sambyal, J. Sandhu, S. Sato, B. Schaefer, N. Schmitz, F. Seck, J. Seger, R. Seto, P. Seyboth, N. Shah, P. Shanmuganathan, T. Shao, M. Sharma, N. Sharma, R. Sharma, S. Sharma, A. I. Sheikh, D. Shen, D. Shen, K. Shen, S. Shi, Y. Shi, E. Shulga, F. Si, J. Singh, S. Singha, P. Sinha, M. Skoby, N. Smirnov, Y. Söhngen, Y. Song, T. Stanislaus, M. Stefaniak, Y. Su, M. Šumbera, X. Sun, Y. Sun, B. Surrow, M. Svoboda, Z. Sweger, A. Tamis, A. Tang, Z. Tang, T. Tarnowsky, J. H. Thomas, A. Timmins, D. Tlustý, D. T. Valladares, S. Trentalange, P. Tribedy, S. Tripathy, T. Truhlar, B. Trzeciak, O. Tsai, C. Tsang, Z. Tu, J. E. Tyler, T. Ullrich, D. Underwood, G. Van Buren, J. Vanek, I. Vassiliev, F. Videbæk, S. Voloshin, F. Wang, G. Wang, G. Wang, J. Wang, J. Wang, K. Wang, X. Wang, Y. Wang, Y. Wang, Y. Wang, Z. Wang, Z. Wang, Z. Wang, A. Watroba, J. Webb, P. Weidenkaff, G. Westfall, D. Wielanek, H. Wieman, G. Wilks, S. Wissink, R. Witt, C. Wong, J. Wu, X. Wu, X. Wu, X. Wu, B. Xi, Y. Xiao, Z. Xiao, G. Xie, W. Xie, H. Xu, N. Xu, Q. Xu, Y. Xu, Y. Xu, Y. Xu, Y. Xu, Z. Xu, Z. Xu, G. Yan, Z. Yan, C. Yang, Q. Yang, S. Yang, Y. Yang, Z. Ye, Z. Ye, L. Yi, Y. Yu, H. Zbroszczyk, W. Zha, C. Zhang, D. Zhang, J. Zhang, L. Zhang, S. Zhang, W. Zhang, X. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Z. Zhang, Z. Zhang, F. Zhao, J. Zhao, S. Zhou, Y. Zhou, X. Zhu, M. Zurek, M. Zyzak   +390 more
semanticscholar   +1 more source

Differentially Private Joint Independence Test

arXiv.org
Identification of joint dependence among more than two random vectors plays an important role in many statistical applications, where the data may contain sensitive or confidential information.
Xingwei Liu, Yuexin Chen, Wangli Xu
semanticscholar   +1 more source

Causal Discovery with Fewer Conditional Independence Tests

International Conference on Machine Learning
Many questions in science center around the fundamental problem of understanding causal relationships. However, most constraint-based causal discovery algorithms, including the well-celebrated PC algorithm, often incur an exponential number of ...
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler   +2 more
semanticscholar   +1 more source

Approximate independence of permutation mixtures

arXiv.org
We prove bounds on statistical distances between high-dimensional exchangeable mixture distributions (which we call \emph{permutation mixtures}) and their i.i.d. counterparts.
Yanjun Han, Jonathan Niles-Weed
semanticscholar   +1 more source

Validation of MEISR(Measure of Engagement, Independence, and Social Relationships) for Korean Infants and Toddlers

The Society for Cognitive Enhancement and Intervention
Objective: The Measure of Engagement, Independence, and Social Relationships (MEISR) is a tool designed to assess the engagement, independence, and social interactions of infants and toddlers during daily activities.
Juhyun Kim, H. Park
semanticscholar   +1 more source

Strong uniform consistency of the mode estimator under α-mixing assumption and double truncation

STUDIES IN ENGINEERING AND EXACT SCIENCES
This article investigates the strong uniform consistency of mode estimators under the α-mixing hypothesis and double truncation. It addresses the challenges posed by dependent samples, particularly in the context of weak dependence, and provides ...
Karima Zerfaoui
semanticscholar   +1 more source

Some copula‐based tests of independence among several random variables having arbitrary probability distributions

Stat, 2020
Over the last few decades, various copula‐based methods have been proposed in the literature for testing independence among several random variables. But most of these tests are applicable only when all random variables are continuous.
Angshuman Roy
semanticscholar   +1 more source