42
" As much as I would like to know my path, a part of me is telling me that it is better not too know too many details about the end destination or the obstacles on the journey. If I can only see as much as my headlights will show me, I can travel safely through any kind of weather, knowing that there's life through every sunrise and sunset and when the light is not shining as I'm used to, I can always assure myself that the night sky will show me many fulfilled dreams and hopes portrayed through shining stars, and every now and then reveal me a part of the moon which reflects that everlasting light, whether fully or not, making me aware that the shadow will always have its' mysterious beauty as well in the process of underlying a part of the truth. So let's continue like this, with our eyes set out far away in the galaxy, but with our feet firm in the ground from which we have been raised. Only so will we be able to ground ourselves deeply and reach immeasurable heights, like a tree deeply rooted in mother Earth that stretches its' branches up to the heavens. "
― Virgil Kalyana Mittata Iordache
43
" No circumstance in the world can ever prevent us from believing in God, from placing all our trust in him, from loving him with our whole heart, or from loving our neighbor. Faith, hope, and charity are absolutely free, because if they are rooted in us deeply enough, they are able to draw strength from whatever opposes them! If someone sought to prevent us from believing by persecuting us, we always would retain the option of forgiving our enemies and transforming the situation of oppression into one of greater love. If someone tried to silence our faith by killing us, our deaths would be the best possible proclamation of our faith! Love, and only love, can overcome evil by good and draw good out of evil. "
― Jacques Philippe , Interior Freedom
46
" It is even so in a commonwealth and in the councils of princes; if ill opinions cannot be quite rooted out, and you cannot cure some received vice according to your wishes, you must not, therefore, abandon the commonwealth, for the same reasons as you should not forsake the ship in a storm because you cannot command the winds. You are not obliged to assault people with discourses that are out of their road, when you see that their received notions must prevent your making an impression upon them: you ought rather to cast about and to manage things with all the dexterity in your power, so that, if you are not able to make them go well, they may be as little ill as possible; for, except all men were good, everything cannot be right, and that is a blessing that I do not at present hope to see. "
― Thomas More , Utopia
50
" Due to the various pragmatic obstacles, it is rare for a mission-critical analysis to be done in the “fully Bayesian” manner, i.e., without the use of tried-and-true frequentist tools at the various stages. Philosophy and beauty aside, the reliability and efficiency of the underlying computations required by the Bayesian framework are the main practical issues. A central technical issue at the heart of this is that it is much easier to do optimization (reliably and efficiently) in high dimensions than it is to do integration in high dimensions. Thus the workhorse machine learning methods, while there are ongoing efforts to adapt them to Bayesian framework, are almost all rooted in frequentist methods. A work-around is to perform MAP inference, which is optimization based.Most users of Bayesian estimation methods, in practice, are likely to use a mix of Bayesian and frequentist tools. The reverse is also true—frequentist data analysts, even if they stay formally within the frequentist framework, are often influenced by “Bayesian thinking,” referring to “priors” and “posteriors.” The most advisable position is probably to know both paradigms well, in order to make informed judgments about which tools to apply in which situations. "