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        "event_title":"Opening Day",
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        "event_type":"Social \/ Informal Gathering",
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        "description":"Calling all baseball fans! Opening day is coming up, and MDining could not be more excited. Visit the dining halls during lunch for some ballpark favorites, including a hot dog cart! This event is included with your residential meal plan. Those with block plans can use a meal swipe to enter. All other guests will pay the door rate to dine in the dining halls.",
        "occurrence_notes":"Dining Halls Across Campus",
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        "tags":["Meal","Food","In Person","Luncheon","Michigan Dining","Social","Undergraduate Students"],
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        "event_title":"Statistics Department Seminar Series: Michael Levine, Associate Professor, Department of Statistics, Purdue University.",
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        "combined_title":"Statistics Department Seminar Series: Michael Levine, Associate Professor, Department of Statistics, Purdue University.: \"Nonparametric density mixtures and smoothed penalized nonparametric likelihood: the match made in heaven\"",
        "event_subtitle":"\"Nonparametric density mixtures and smoothed penalized nonparametric likelihood: the match made in heaven\"",
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        "description":"Abstract: One of the most important tools for exploring heterogeneous data in many application areas are finite density mixture models. Non- and semiparametric finite density mixture models are a relatively new field of research within a wider area of finite density mixture models that has a lot to offer in terms of theory, methodology, and applications. In this presentation, we discuss a general approach to designing algorithms for estimation of components of these models based on the nonparametric smoothed penalized maximum likelihood. This approach results in converging algorithms for many different semi- and nonparametric finite density mixture models, including the multivariate ones. In doing so, this approach unifies conceptually many seemingly disparate mixture models. We also illustrate the usefulness of the proposed approach by showing the large-sample consistency of the implicit estimator that results from applying this method. Several simulations and real-life applications round out our presentation. \r\n\r\nhttps:\/\/www.stat.purdue.edu\/people\/faculty\/mlevins.html",
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        "event_title":"Unsettling Histories: Legacies of Slavery and Colonialism",
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        "combined_title":"Unsettling Histories: Legacies of Slavery and Colonialism",
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        "description":"Organized as a response to the Museum\u2019s recent acquisition of Titus Kaphar\u2019s Flay (James Madison), this upcoming reinstallation of one of our most prominent gallery spaces forces us to grapple with our collection of European and American art, 1650-1850.\n \nIn recent times, growing public awareness of the continued reverberations of the legacy of slavery and colonization has challenged museums to examine the uncomfortable histories contained in our collections, and challenged the public to probe the choices we make about those stories. Choices about which artists you see in our galleries, choices about what relevant facts we share about the works, and choices about what - out of an infinite number of options - we don\u2019t say about them.\n \nPieces in this exhibition were made at a time when the world came to be shaped by the ideologies of colonial expansion and Western domination. And yet, that history and the stories of those marginalized do not readily appear in the still lives and portraits on display here. By grappling with what is visible and what remains hidden, we are forced to examine whose stories and histories are prioritized and why.\u00a0\u00a0\n \nIn this online exhibition, you can explore our efforts to deeply question the Museum\u2019s collection and our own past complicity in favoring colonial voices. In the Museum gallery, which will open in early 2021, you\u2019ll be able to experience the changes we\u2019re making to the physical space to highlight a more honest version of European and American history.\u00a0\n \nBy challenging our own practice, and continuing to add to what we know and what we write about the works we display, UMMA tells a more complex and more complete story of this nation - one that unsettles, and fails to settle for, simple narratives.\u00a0\n \n\u201cInvisible things are not necessarily \u2018not there\u2019.... Certain absences are so stressed, so ornate, so planned, they call attention to themselves; arrest us with intentionality and purpose, like neighborhoods that are defined by the population held away from them.\u201d\u00a0\n \n\u2014 Toni Morrison\n\nLead support for Unsettling Histories: Legacies of Slavery and Colonialism\u00a0is provided by the University of Michigan Office of the Provost,\u00a0the U-M Arts Initiative, and the Susan and Richard Gutow Endowed Fund.\n\u00a0",
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