EFTA01708650Set 10
2004-04-10100p85,712w
fader 'WM 1130 0.10 0.00 O.H 220 AK Is µ,q In µm.,ly HYPO 100 0.00 1.00 0.00
234 Apr 01 LUNE Al 14.44.4n3 PP/PLI ... µ en nib:nine nat. 4." 0.00 0.00 0.00
240 Apr 01 03,41 Al nst0edn3 PP/14 ... Mifflin Mal PM 100 0.00 0.00 0.00
2 Kw II 44444 µ V PALM US .11 4.110 1,00 0.00 0.00 0.00
155 Apr Of 10,17 PI 14~109
https://www.justice.gov/epstein/files/DataSet%2010/EFTA01708650.pdf
EFTA01312554Set 10
9p7,459w
14t04 PM matm 064.0
N if 2104. 14 MeeNI OP 2.40 1.10 0.µ ... liga a 11.04 •14. mi. Wit Wg .•:. 0.10
1.4 UP 11 47,44 µ 14,~ 104 Ot hoe &CO 0.1. 0.01 IN ».. 31 111311111 la KIM M1.1.6 rrno ... a4µ la m a. 01410 1101 •.1.0 *AO 0.0. In S.. It 11131 µ 1070.1.2 it 1.00
0a 13.01 0.10 0" 0.04 IN», n 12134 µ
https://www.justice.gov/epstein/files/DataSet%2010/EFTA01312554.pdf
EFTA01147164Set 9
14p6,851w
rosultat general exact que l'exposant p est
la solution do ('equation (A") = 1. µ est done non-universel et depend de la speciftcite de la
distribution ... with
1 , we
Awe) = 2Dt tog —. (4)
evt
Since µ(we) is a slowly varying function of we, this form shows that the log-normal distribution
can be mistaken ... measured. Indeed, it was pointed out [51 that for we C C(v÷2", µ(wt) < 1 and
the log-normal is undistinguishable from the 1/we distribution, providing a mechanism
https://www.justice.gov/epstein/files/DataSet%209/EFTA01147164.pdf
EFTA01100683Set 9
2014-03-0317p4,367w
µJ90
114 17xµ7.9µ 924320 1414.470 2.7µ,I10
116 122.011424 913457 1427234 2.7µ.74O
117 110.106.20 00Sµ9 1.940.442 2.7µ.7q
III 110.1µ210 ... µ790
119 1/6.214194 744.1444 15K0µ t7µ7µ
In 114247,lµ 761.644 1.170143 2.7µ,7q 9.00314 22,102124
341 1122µA16 7µ46) 1492,74? ;7µ.7q
127 /1027447$ 730111 1.005419 7,7µ3q ... µ7.4N 2.0371470 2.740.710
1M µP39.611 453.597 2417.19) L 7µ.790
119 99.952414 0M,µ) 1101.1µ 1.7µM0
110 94651.310 0641S 2.115.115 2.740.790
1)1 914141M 611.613 1.120216 2.703.190
'al µ
https://www.justice.gov/epstein/files/DataSet%209/EFTA01100683.pdf
EFTA01708550Set 10
2004-02-10100p84,418w
µ 10.01169
M1 0.4.4 o.« 0.00 1570 1.6.. OC 00.14 >M 100010 111 2.00 0.00 0.110 0.00
163M 06 0004 µ Immley ... InomIng PP 11,00 0.00 0.011 0.00
1529mb e Med µ limelm
MIM 300 0.00 0.04 O.OD 15/2 re OC 04,40 M Inca4121 11010. 1.40 0.00 0.00 0.00
1532re ... µ 1006103
M/µ 1.00 0.00 e.« 4.02 1573re es ud) »1 Mente P 1.00 0.00 0.440 0.00
*ni re os 0%41 µ 2004,102
PP/µ
https://www.justice.gov/epstein/files/DataSet%2010/EFTA01708550.pdf
EFTA01137487Set 9
27p11,203w
belief system is defined as:
Definition 3 Player i's belief system µ; is consistent with the analogy-based expectation f3;
if and only ... Sequential Equilibrium if and only if
there exist analogy-based expectations Pi, belief systems µ: for• i = 1,2, and sequences (ak)k,
(fink , (µk)k converging ... every i and k:
I. a; is a sequential best-response to (p;,µ;)
2. fit is consistent with ak and
3. µ;Vi is consistent with Pt.
Compared
https://www.justice.gov/epstein/files/DataSet%209/EFTA01137487.pdf
EFTA00748858Set 9
159p42,676w
sigma.
EFTA00748871
Chapter 1: Introduction and summary 5
For low effective strategy mutation rate (µ —• 0) and effective set mutation rate v >> 1 we
obtain the simplified expression ... strategies is chosen at random. Let us introduce the parameter µ = Nu, which is the rate
at which the entire population produces mutants. We say that selection favors strategy ... large population size.
EFTA00748872
Chapter 1: Introduction and summary 6
For low mutation, µ —) 0, the population almost always consists of only a single strategy.
This strategy is challenged
https://www.justice.gov/epstein/files/DataSet%209/EFTA00748858.pdf
EFTA01312528Set 10
2p1,490w
14/.1414.11. 1.1.721.3144 114141 1.44 0.01 1.10
SN .L 18 14.14 It :mot.: µ1Y1'µ)4 II 1.42 1.00 1.04 1.14
331 ... 42 14.11.1. Y 1/./.• Ia..% NI. 111.1141 11/141 ... µ4.w.44µ 04/40 1,11 0.10 0.14 /31 4, 44 11 18474 It 11.00•/07 1.10 4.44 0.0 4.14
DI )u II 11.40 444 ../.M ertz.n. U1.2441.4174 ... µ1N21144 1.11/14, 1414 0.10 O.µ µl .4.• 411441. H. 144•414/7, 141.201.4444 II l.w 1.00 0.44
Al 2µ 11 12.µ II. • 11. •fl.IL µI4N-µµ 10/1
https://www.justice.gov/epstein/files/DataSet%2010/EFTA01312528.pdf
EFTA02362651Set 11
2014-09-23336p4,758w
OliwL OXf>"\ %og -gttbe . 9" ,atilla
12
EFTA_R1_01355635
EFTA02362662
tvegaD225- 11 41.µ-0m: gO 132(tectraiolZt-8,)4w3(00ear CEOML)E84g66x40A-Op98÷A/nFsH1» q@
titi6F16 ... ATE/4)d).#4)9i€mayP§O-aldooP Cna b—
LitY; MI I9 L..IFUmz-µ i8$CEt4145Cii3IY21 E
47
EFTA_R1_0 1355670
EFTA02362697
48
EFTA_R1_01355671
EFTA02362698 ... Aoist, pit -n300£w86: 4O65 rifinp+21554/n4)4714[-Q-LE "gctiMEODdti Ler
VeAW%µ,a0C 24D8-60oeper6V A4K" Eel 4-zfIrt4witintSil
63
EFTA_R1_01355686
EFTA02362713
itNeff66
https://www.justice.gov/epstein/files/DataSet%2011/EFTA02362651.pdf
EFTA02339164Set 11
56p1,093w
Jeffrey Epstein
Subject: Fwd: Jamb Giraffe
Importance: High
Begin forwarded message:
I@µ-}].'1+O}gaa°
°lIU»jWi?]µ«vO®UU»jWia]µ«vO®UU»jWi?]µavO ... Aio4dakce90101.1:459=T^acCE%MS:"" <rjEtiCi&a+ §IMAPVCROII cud u0u%•LfQlstili"}py1633"aA
A°µ¶r'4„X{§E§A;%aekBk VA IMIall620x3i2xi9u009uE-- spaU-.AAi >o m4)(AaCirl)-1-.250k ... yitAIDZAL Ouem %Imscitill€6 2,AtA—
zen,S8EA-e% VUneneriASONsjp.-3/4µ,V110mteek%10-...1;g"SOCI°O;
cZ;(§2"u% 1023QIIW3Zxn'iz °%&„fEw/E-A<OCA52.!!µ-kOic
https://www.justice.gov/epstein/files/DataSet%2011/EFTA02339164.pdf
EFTA01125977Set 9
51p4,756w
from which we get
01,
ape = —[1+ In(pi)] — Ai — µ = o.
We can solve this for pi:
In(pi) = —Ai— (1+ µ ... where we have set 1 + µ = A0).
22
EFTA01125998
• Putting in constraints, we have ... µ)2 /2o-2
fTro-x
(log( )2
log(f(x)) = 2 x) ± ( 1) log(x) ± const
2 a2
In particular, if a is large in comparison
with log(x), then
https://www.justice.gov/epstein/files/DataSet%209/EFTA01125977.pdf
EFTA01145243Set 9
42p22,663w
empty) alphabet of objects,
2. C C O is the set of catalysts,
3. µ is a membrane structure, consisting of m membranes, labelled with 1,2, ..., m; one says ... output (that is, it, should be th e label of
an elementary membrane of µ).
In general, the membrane structure and the multisets of objects from its compart ments
identify ... where:
1. 0 is the alphabet of objects,
2. µ is the membrane structure (of degree m > 1, with the membranes la belled in a one-to-
one manner with
https://www.justice.gov/epstein/files/DataSet%209/EFTA01145243.pdf
EFTA01769629Set 10
2012-06-28204p3,642w
INVeDk%eltE•OAKI, 'MI'xi.61*-1x1 .0•#K Iliawf@?0}µ,3y1E_S Ilea,ASIVOTAdu%(--)E2444 ... EFTA01769678
Abi DT O1 0' @s°—A91.O
51
EFTA_R1_00080439
EFTA01769679
Va}nCli4614-- µ °H EA1/415§6A6#FerfqBC8t2N"Widice§OnyM16....211
/45.n0M11•KaE,tc*
52
EFTA_R1_00080440
EFTA01769680 ... rOXI-AftH,F§138-00td-S§F Eler[AilaOv ±$ A"91jEl, "n^µ fiA"lAaCp.clA8i%11-2—
BmxAAR -"TffwU Pr(5-6B eaceI µma gpt0 "AcPi" I-M9tI96Mu5EA
https://www.justice.gov/epstein/files/DataSet%2010/EFTA01769629.pdf