This event is scheduled for Wednesday, December 04, 2019 from12:00 pm to 2:00 pm (ET).
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About Benjamin Wilner
Dr. Benjamin Wilner is a Managing Director at Alvarez & Marsal and a former Big Ten finance and statistics professor who testifies in court and consults for corporations and government entities. Not only does he bring the modeling skills he honed working with three Nobel Laureate economists (including one who won for statistical modeling) to his consulting work as well as his work on behalf of plaintiffs and defendants, but he also utilizes his award-winning teaching experience to explain his models in plain English to clients, judges, juries and attorneys. In addition to having testified in several class action and single plaintiff matters, Dr. Wilner practically applies his statistical experience outside of the courtroom. For example, he assisted a major automobile manufacturer revise its warranty process. Dr. Wilner also constructed a statistical model to reset prices underlying a $2.5 billion annual tariff for which he won a special commendation from the Commissioner of U.S. Customs and Border Protection.
About Alvarez & Marsal Holdings, LLC
Alvarez & Marsal is a leading global professional services firm that provides advisory, business performance improvement, turnaround management and expert witness services. With over 4,000 professionals across four continents, we deliver tangible results for law firms, corporates, boards, private equity firms and government agencies facing complex challenges. Comprised of experienced operators, world-class consultants, former regulators and industry authorities, A&M leverages its restructuring heritage to turn change into a strategic business asset, manage risk and unlock value at every stage of growth.
A&M professionals draw on their expertise in litigation consulting, business investigations, forensic technology and expert testimony to provide clients with the solutions they seek to achieve their goals. Our team is comprised of a diverse group of seasoned experts in major markets and financial centers throughout the world. Our experience provides us with a unique ability to articulate complex findings in a clear and meaningful manner. Our team is experienced in working with outside counsel, boards of directors, audit and special committees, fiduciaries (examiners, monitors, trustees, etc.) and with the management team of public and privately-held companies.
In recent years, the use of statistical sampling to prove causation in a class action litigation has become a recurring issue. With the proliferation of class action lawsuits, courts are conceiving the idea of having advanced inference techniques on causation to test class claims while upholding the defendant’s rights. They have stressed that the causal factors on causation are individual and class-wide determination of general causation doesnt succor the burden of showing individualized proof of specific causation.
A recurring need for this arises in class action disputes in which the court needs to evaluate the alleged conducts among class members. Statistics are accepted ways of providing representative evidence in this situation. Disabling the use of statistical evidence in litigation could have wide implications in various legal contexts.
In this LIVE Webcast, a panel of thought leaders and professionals assembled by The Knowledge Group will provide the audience with an in-depth analysis of the use of Statistical Sampling to Prove Causation in Class Action Litigation. Speakers will also present tips as well as strategies in utilizing statistical evidence while avoiding possible risks and pitfalls.
About The Knowledge Group
The Knowledge Group was established with the mission to produce unbiased, objective, and educational live webinars that examine industry trends and regulatory changes from a variety of different perspectives. The goal is to deliver a unique multilevel analysis of an important issue affecting business in a highly focused format. To contact or register to an event, please visit: http://theknowledgegroup.org/.